D-Index (Parallel Colt 0.7.2 - API Specification)

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Parallel Colt 0.7.2

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D

dasum(DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Returns the sum of absolute values; |x[0]| + |x[1]| + ...
dasum(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dasum(FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Returns the sum of absolute values; |x[0]| + |x[1]| + ...
dasum(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
daxpy(double, DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Combined vector scaling; y = y + alpha*x.
daxpy(double, DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Combined matrix scaling; B = B + alpha*A.
daxpy(double, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
daxpy(double, DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
daxpy(float, FloatMatrix1D, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Combined vector scaling; y = y + alpha*x.
daxpy(float, FloatMatrix2D, FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Combined matrix scaling; B = B + alpha*A.
daxpy(float, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
daxpy(float, FloatMatrix2D, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
daxpy_f77(int, double, double[], int, double[], int) - Static method in class optimization.Blas_f77: This method multiplies a constant times a vector and adds the product to another vector --- dy = da*dx + dy.
DComplex - Class in cern.jet.math.tdcomplex: Complex arithmetic
DComplexDComplexDComplexFunction - Interface in cern.colt.function.tdcomplex
DComplexDComplexFunction - Interface in cern.colt.function.tdcomplex
DComplexDComplexProcedure - Interface in cern.colt.function.tdcomplex
DComplexDComplexRealFunction - Interface in cern.colt.function.tdcomplex
DComplexDComplexRealProcedure - Interface in cern.colt.function.tdcomplex
DComplexDComplexRealRealFunction - Interface in cern.colt.function.tdcomplex
DComplexFactory1D - Class in cern.colt.matrix.tdcomplex: Factory for convenient construction of 1-d matrices holding complex cells.
DComplexFactory2D - Class in cern.colt.matrix.tdcomplex: Factory for convenient construction of 2-d matrices holding complex cells.
DComplexFactory3D - Class in cern.colt.matrix.tdcomplex: Factory for convenient construction of 3-d matrices holding complex cells.
DComplexFunctions - Class in cern.jet.math.tdcomplex: Complex function objects to be passed to generic methods.
DComplexFunctions() - Constructor for class cern.jet.math.tdcomplex.DComplexFunctions
DComplexMatrix1D - Class in cern.colt.matrix.tdcomplex: Abstract base class for 1-d matrices (aka vectors) holding complex elements.
DComplexMatrix1DProcedure - Interface in cern.colt.matrix.tdcomplex: Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DComplexMatrix2D - Class in cern.colt.matrix.tdcomplex: Abstract base class for 2-d matrices holding complex elements.
DComplexMatrix2DProcedure - Interface in cern.colt.matrix.tdcomplex: Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DComplexMatrix3D - Class in cern.colt.matrix.tdcomplex: Abstract base class for 3-d matrices holding complex elements.
DComplexMult - Class in cern.jet.math.tdcomplex: Only for performance tuning of compute intensive linear algebraic computations.
DComplexPlusMult - Class in cern.jet.math.tdcomplex: Only for performance tuning of compute intensive linear algebraic computations.
DComplexProcedure - Interface in cern.colt.function.tdcomplex: Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
DComplexRealDComplexFunction - Interface in cern.colt.function.tdcomplex
DComplexRealFunction - Interface in cern.colt.function.tdcomplex
dcopy(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Vector assignment (copying); y = x.
dcopy(DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Matrix assignment (copying); B = A.
dcopy(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dcopy(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dcopy(FloatMatrix1D, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Vector assignment (copying); y = x.
dcopy(FloatMatrix2D, FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Matrix assignment (copying); B = A.
dcopy(FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dcopy(FloatMatrix2D, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dcopy_f77(int, double[], int, double[], int) - Static method in class optimization.Blas_f77: This method copies the vector dx to the vector dy.
dcopyp_f77(int, double[], double[], int) - Static method in class optimization.Blas_f77: This method copies a portion of vector x to the corresponding portion of vector y.
dct(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D: Computes the discrete cosine transform (DCT-II) of this matrix.
dct(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D: Computes the discrete cosine transform (DCT-II) of this matrix.
dct(boolean) - Method in class cern.colt.matrix.tint.impl.SparseIntMatrix1D
dct2(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dct2(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the 2D discrete cosine transform (DCT-II) of this matrix.
dct2(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dct2(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the 2D discrete cosine transform (DCT-II) of this matrix.
dct2Slices(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Computes the 2D discrete cosine transform (DCT-II) of each slice of this matrix.
dct2Slices(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Computes the 2D discrete cosine transform (DCT-II) of each slice of this matrix.
dct3(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Computes the 3D discrete cosine transform (DCT-II) of this matrix.
dct3(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Computes the 3D discrete cosine transform (DCT-II) of this matrix.
dctColumns(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dctColumns(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the discrete cosine transform (DCT-II) of each column of this matrix.
dctColumns(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dctColumns(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the discrete cosine transform (DCT-II) of each column of this matrix.
dctRows(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dctRows(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the discrete cosine transform (DCT-II) of each row of this matrix.
dctRows(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dctRows(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the discrete cosine transform (DCT-II) of each row of this matrix.
ddot(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
ddot(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
ddot(FloatMatrix1D, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
ddot(FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
ddot_f77(int, double[], int, double[], int) - Static method in class optimization.Blas_f77: This method calculates the dot product of two vectors.
dec - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a--.
DECIMAL - Static variable in class cern.colt.matrix.AbstractFormatter: The alignment string aligning the cells of a column to the decimal point.
decompose(DComplexMatrix2D[][], DComplexMatrix2D) - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
decompose(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecompositionQuick: Decomposes matrix A into L and U (in-place).
decompose(DoubleMatrix2D, int) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecompositionQuick: Decomposes the banded and square matrix A into L and U (in-place).
decompose(DoubleMatrix2D[][], DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
decompose(FComplexMatrix2D[][], FComplexMatrix2D) - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
decompose(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.FloatLUDecompositionQuick: Decomposes matrix A into L and U (in-place).
decompose(FloatMatrix2D, int) - Method in class cern.colt.matrix.tfloat.algo.decomposition.FloatLUDecompositionQuick: Decomposes the banded and square matrix A into L and U (in-place).
decompose(FloatMatrix2D[][], FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
decompose(IntMatrix2D[][], IntMatrix2D) - Method in class cern.colt.matrix.tint.IntFactory2D: Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
decompose(ObjectMatrix2D[][], ObjectMatrix2D) - Method in class cern.colt.matrix.tobject.ObjectFactory2D: Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
DEFAULT - Static variable in class cern.colt.matrix.tdouble.algo.DoubleAlgebra: A default Algebra object; has DoubleProperty.DEFAULT attached for tolerance.
DEFAULT - Static variable in class cern.colt.matrix.tdouble.algo.DoubleProperty: The default Property object; currently has tolerance()==1.0E-9.
DEFAULT - Static variable in class cern.colt.matrix.tfloat.algo.FloatAlgebra: A default Algebra object; has FloatProperty.DEFAULT attached for tolerance.
DEFAULT - Static variable in class cern.colt.matrix.tfloat.algo.FloatProperty: The default Property object; currently has tolerance()==1.0E-6.
DEFAULT - Static variable in class cern.colt.matrix.tint.algo.IntProperty: The default Property object;.
DEFAULT_COLUMN_SEPARATOR - Static variable in class cern.colt.matrix.AbstractFormatter: The default string separating any two columns from another; currently " ".
DEFAULT_MIN_COLUMN_WIDTH - Static variable in class cern.colt.matrix.AbstractFormatter: The default minimum number of characters a column may have; currently 1.
DEFAULT_ROW_SEPARATOR - Static variable in class cern.colt.matrix.AbstractFormatter: The default string separating any two rows from another; currently "\n".
DEFAULT_SEED - Static variable in class cern.jet.random.tdouble.engine.DoubleMersenneTwister
DEFAULT_SEED - Static variable in class cern.jet.random.tdouble.engine.DRand
DEFAULT_SEED - Static variable in class cern.jet.random.tfloat.engine.FloatMersenneTwister
DEFAULT_SEED - Static variable in class cern.jet.random.tfloat.engine.FRand
DEFAULT_SLICE_SEPARATOR - Static variable in class cern.colt.matrix.AbstractFormatter: The default string separating any two slices from another; currently "\n\n".
DefaultDoubleIterationMonitor - Class in cern.colt.matrix.tdouble.algo.solver: Default iteration monitor.
DefaultDoubleIterationMonitor(int, double, double, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DefaultDoubleIterationMonitor: Constructor for DefaultIterationMonitor
DefaultDoubleIterationMonitor() - Constructor for class cern.colt.matrix.tdouble.algo.solver.DefaultDoubleIterationMonitor: Constructor for DefaultIterationMonitor.
DefaultFloatIterationMonitor - Class in cern.colt.matrix.tfloat.algo.solver: Default iteration monitor.
DefaultFloatIterationMonitor(int, float, float, float) - Constructor for class cern.colt.matrix.tfloat.algo.solver.DefaultFloatIterationMonitor: Constructor for DefaultIterationMonitor
DefaultFloatIterationMonitor() - Constructor for class cern.colt.matrix.tfloat.algo.solver.DefaultFloatIterationMonitor: Constructor for DefaultIterationMonitor.
deg - Static variable in class cern.clhep.Units
degree - Static variable in class cern.clhep.Units
delete(boolean) - Method in class cern.colt.list.tboolean.AbstractBooleanList: Deletes the first element from the receiver that is identical to the specified element.
delete(byte) - Method in class cern.colt.list.tbyte.AbstractByteList: Deletes the first element from the receiver that is identical to the specified element.
delete(char) - Method in class cern.colt.list.tchar.AbstractCharList: Deletes the first element from the receiver that is identical to the specified element.
delete(double) - Method in class cern.colt.list.tdouble.AbstractDoubleList: Deletes the first element from the receiver that is identical to the specified element.
delete(float) - Method in class cern.colt.list.tfloat.AbstractFloatList: Deletes the first element from the receiver that is identical to the specified element.
delete(int) - Method in class cern.colt.list.tint.AbstractIntList: Deletes the first element from the receiver that is identical to the specified element.
delete(long) - Method in class cern.colt.list.tlong.AbstractLongList: Deletes the first element from the receiver that is identical to the specified element.
delete(Object, boolean) - Method in class cern.colt.list.tobject.ObjectArrayList: Deletes the first element from the receiver that matches the specified element.
delete(short) - Method in class cern.colt.list.tshort.AbstractShortList: Deletes the first element from the receiver that is identical to the specified element.
demo1() - Static method in class cern.colt.matrix.AbstractFormatter: Demonstrates how to use this class.
demo1() - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Demonstrates usage of this class.
demo1() - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo1() - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic: Demonstrates usage of this class.
demo1() - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Demonstrates usage of this class.
demo1() - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Demonstrates usage of this class.
demo1() - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
demo1() - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic: Demonstrates usage of this class.
demo1() - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Demonstrates usage of this class.
demo1() - Method in class cern.colt.matrix.tint.IntFactory2D: Demonstrates usage of this class.
demo1() - Static method in class cern.jet.math.tdouble.DoubleFunctions: Demonstrates usage of this class.
demo1() - Static method in class cern.jet.math.tfloat.FloatFunctions: Demonstrates usage of this class.
demo2() - Static method in class cern.colt.matrix.AbstractFormatter: Demonstrates how to use this class.
demo2() - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Demonstrates usage of this class.
demo2() - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo2(int, int, boolean) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic: Demonstrates usage of this class.
demo2() - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Demonstrates usage of this class.
demo2() - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Demonstrates usage of this class.
demo2() - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
demo2(int, int, boolean) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic: Demonstrates usage of this class.
demo2() - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Demonstrates usage of this class.
demo2() - Method in class cern.colt.matrix.tint.IntFactory2D: Demonstrates usage of this class.
demo2(int) - Static method in class cern.jet.math.tdouble.DoubleFunctions: Benchmarks and demonstrates usage of trivial and complex functions.
demo2(int) - Static method in class cern.jet.math.tfloat.FloatFunctions: Benchmarks and demonstrates usage of trivial and complex functions.
demo3(int, Object) - Static method in class cern.colt.matrix.AbstractFormatter: Demonstrates how to use this class.
demo3(int, double) - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo3(DoubleStatistic.VectorVectorFunction) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic: Demonstrates usage of this class.
demo3(int, float) - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
demo3(FloatStatistic.VectorVectorFunction) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic: Demonstrates usage of this class.
demo4() - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo4() - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
demo5() - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo5() - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
demo6() - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo6() - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
demo7() - Static method in class cern.colt.matrix.tdouble.algo.DoubleFormatter: Demonstrates how to use this class.
demo7() - Static method in class cern.colt.matrix.tfloat.algo.FloatFormatter: Demonstrates how to use this class.
dense - Static variable in class cern.colt.matrix.tdcomplex.DComplexFactory1D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tdcomplex.DComplexFactory2D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tdcomplex.DComplexFactory3D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tdouble.DoubleFactory1D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tdouble.DoubleFactory2D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tdouble.DoubleFactory3D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tfcomplex.FComplexFactory1D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tfcomplex.FComplexFactory2D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tfcomplex.FComplexFactory3D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tfloat.FloatFactory1D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tfloat.FloatFactory2D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tfloat.FloatFactory3D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tint.IntFactory1D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tint.IntFactory2D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tint.IntFactory3D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tobject.ObjectFactory1D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tobject.ObjectFactory2D: A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.tobject.ObjectFactory3D: A factory producing dense matrices.
DenseColDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Dense 2-d matrix holding double elements.
DenseColDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D: Constructs a matrix with a copy of the given values.
DenseColDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseColDoubleMatrix2D(int, int, double[], int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D: Constructs a view with the given parameters.
DenseColFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Dense 2-d matrix holding float elements.
DenseColFloatMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D: Constructs a matrix with a copy of the given values.
DenseColFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseColFloatMatrix2D(int, int, float[], int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D: Constructs a view with the given parameters.
DenseDComplexMatrix1D - Class in cern.colt.matrix.tdcomplex.impl: Dense 1-d matrix (aka vector) holding complex elements.
DenseDComplexMatrix1D(double[]) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D: Constructs a matrix with a copy of the given values.
DenseDComplexMatrix1D(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D: Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.
DenseDComplexMatrix1D(int) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D: Constructs a matrix with a given number of cells.
DenseDComplexMatrix1D(int, double[], int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D: Constructs a matrix view with the given parameters.
DenseDComplexMatrix2D - Class in cern.colt.matrix.tdcomplex.impl: Dense 2-d matrix holding complex elements.
DenseDComplexMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix2D: Constructs a matrix with a copy of the given values.
DenseDComplexMatrix2D(DoubleMatrix2D) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix2D: Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.
DenseDComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseDComplexMatrix2D(int, int, double[], int, int, int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix2D: Constructs a view with the given parameters.
DenseDComplexMatrix3D - Class in cern.colt.matrix.tdcomplex.impl: Dense 3-d matrix holding complex elements.
DenseDComplexMatrix3D(double[][][]) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix3D: Constructs a matrix with a copy of the given values.
DenseDComplexMatrix3D(DoubleMatrix3D) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix3D: Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.
DenseDComplexMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix3D: Constructs a matrix with a given number of slices, rows and columns.
DenseDComplexMatrix3D(int, int, int, double[], int, int, int, int, int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix3D: Constructs a view with the given parameters.
DenseDoubleMatrix1D - Class in cern.colt.matrix.tdouble.impl: Dense 1-d matrix (aka vector) holding double elements.
DenseDoubleMatrix1D(double[]) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D: Constructs a matrix with a copy of the given values.
DenseDoubleMatrix1D(int) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D: Constructs a matrix with a given number of cells.
DenseDoubleMatrix1D(int, double[], int, int, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D: Constructs a matrix with the given parameters.
DenseDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Dense 2-d matrix holding double elements.
DenseDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Constructs a matrix with a copy of the given values.
DenseDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseDoubleMatrix2D(int, int, double[], int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Constructs a view with the given parameters.
DenseDoubleMatrix2D(MatrixVectorReader) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Constructs a matrix from MatrixVectorReader.
DenseDoubleMatrix3D - Class in cern.colt.matrix.tdouble.impl: Dense 3-d matrix holding double elements.
DenseDoubleMatrix3D(double[][][]) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Constructs a matrix with a copy of the given values.
DenseDoubleMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Constructs a matrix with a given number of slices, rows and columns.
DenseDoubleMatrix3D(int, int, int, double[], int, int, int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Constructs a view with the given parameters.
DenseFComplexMatrix1D - Class in cern.colt.matrix.tfcomplex.impl: Dense 1-d matrix (aka vector) holding complex elements.
DenseFComplexMatrix1D(float[]) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D: Constructs a matrix with a copy of the given values.
DenseFComplexMatrix1D(FloatMatrix1D) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D: Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.
DenseFComplexMatrix1D(int) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D: Constructs a matrix with a given number of cells.
DenseFComplexMatrix1D(int, float[], int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D: Constructs a matrix view with the given parameters.
DenseFComplexMatrix2D - Class in cern.colt.matrix.tfcomplex.impl: Dense 2-d matrix holding complex elements.
DenseFComplexMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix2D: Constructs a matrix with a copy of the given values.
DenseFComplexMatrix2D(FloatMatrix2D) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix2D: Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.
DenseFComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseFComplexMatrix2D(int, int, float[], int, int, int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix2D: Constructs a view with the given parameters.
DenseFComplexMatrix3D - Class in cern.colt.matrix.tfcomplex.impl: Dense 3-d matrix holding complex elements.
DenseFComplexMatrix3D(float[][][]) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix3D: Constructs a matrix with a copy of the given values.
DenseFComplexMatrix3D(FloatMatrix3D) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix3D: Constructs a complex matrix with the same size as realPart matrix and fills the real part of this matrix with elements of realPart.
DenseFComplexMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix3D: Constructs a matrix with a given number of slices, rows and columns.
DenseFComplexMatrix3D(int, int, int, float[], int, int, int, int, int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix3D: Constructs a view with the given parameters.
DenseFloatMatrix1D - Class in cern.colt.matrix.tfloat.impl: Dense 1-d matrix (aka vector) holding float elements.
DenseFloatMatrix1D(float[]) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D: Constructs a matrix with a copy of the given values.
DenseFloatMatrix1D(int) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D: Constructs a matrix with a given number of cells.
DenseFloatMatrix1D(int, float[], int, int, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D: Constructs a matrix with the given parameters.
DenseFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Dense 2-d matrix holding float elements.
DenseFloatMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Constructs a matrix with a copy of the given values.
DenseFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseFloatMatrix2D(int, int, float[], int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Constructs a view with the given parameters.
DenseFloatMatrix2D(MatrixVectorReader) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Constructs a matrix from MatrixVectorReader.
DenseFloatMatrix3D - Class in cern.colt.matrix.tfloat.impl: Dense 3-d matrix holding float elements.
DenseFloatMatrix3D(float[][][]) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Constructs a matrix with a copy of the given values.
DenseFloatMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Constructs a matrix with a given number of slices, rows and columns.
DenseFloatMatrix3D(int, int, int, float[], int, int, int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Constructs a view with the given parameters.
DenseIntMatrix1D - Class in cern.colt.matrix.tint.impl: Dense 1-d matrix (aka vector) holding int elements.
DenseIntMatrix1D(int[]) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix1D: Constructs a matrix with a copy of the given values.
DenseIntMatrix1D(int) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix1D: Constructs a matrix with a given number of cells.
DenseIntMatrix1D(int, int[], int, int, boolean) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix1D: Constructs a matrix with the given parameters.
DenseIntMatrix2D - Class in cern.colt.matrix.tint.impl: Dense 2-d matrix holding int elements.
DenseIntMatrix2D(int[][]) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix2D: Constructs a matrix with a copy of the given values.
DenseIntMatrix2D(int, int) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseIntMatrix2D(int, int, int[], int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix2D: Constructs a view with the given parameters.
DenseIntMatrix3D - Class in cern.colt.matrix.tint.impl: Dense 3-d matrix holding int elements.
DenseIntMatrix3D(int[][][]) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix3D: Constructs a matrix with a copy of the given values.
DenseIntMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix3D: Constructs a matrix with a given number of slices, rows and columns.
DenseIntMatrix3D(int, int, int, int[], int, int, int, int, int, int, boolean) - Constructor for class cern.colt.matrix.tint.impl.DenseIntMatrix3D: Constructs a view with the given parameters.
DenseObjectMatrix1D - Class in cern.colt.matrix.tobject.impl: Dense 1-d matrix (aka vector) holding Object elements.
DenseObjectMatrix1D(Object[]) - Constructor for class cern.colt.matrix.tobject.impl.DenseObjectMatrix1D: Constructs a matrix with a copy of the given values.
DenseObjectMatrix1D(int) - Constructor for class cern.colt.matrix.tobject.impl.DenseObjectMatrix1D: Constructs a matrix with a given number of cells.
DenseObjectMatrix2D - Class in cern.colt.matrix.tobject.impl: Dense 2-d matrix holding Object elements.
DenseObjectMatrix2D(Object[][]) - Constructor for class cern.colt.matrix.tobject.impl.DenseObjectMatrix2D: Constructs a matrix with a copy of the given values.
DenseObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.tobject.impl.DenseObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
DenseObjectMatrix3D - Class in cern.colt.matrix.tobject.impl: Dense 3-d matrix holding Object elements.
DenseObjectMatrix3D(Object[][][]) - Constructor for class cern.colt.matrix.tobject.impl.DenseObjectMatrix3D: Constructs a matrix with a copy of the given values.
DenseObjectMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tobject.impl.DenseObjectMatrix3D: Constructs a matrix with a given number of slices, rows and columns.
density(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.DoubleProperty: Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
density(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.FloatProperty: Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
density(IntMatrix2D) - Method in class cern.colt.matrix.tint.algo.IntProperty: Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
descending(int) - Method in class cern.colt.matrix.tdouble.DoubleFactory1D: Constructs a matrix with cells having descending values.
descending(int, int) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Constructs a matrix with cells having descending values.
descending(int, int, int) - Method in class cern.colt.matrix.tdouble.DoubleFactory3D: Constructs a matrix with cells having descending values.
descending(int) - Method in class cern.colt.matrix.tfloat.FloatFactory1D: Constructs a matrix with cells having descending values.
descending(int, int) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Constructs a matrix with cells having descending values.
descending(int, int, int) - Method in class cern.colt.matrix.tfloat.FloatFactory3D: Constructs a matrix with cells having descending values.
descending(int) - Method in class cern.colt.matrix.tint.IntFactory1D: Constructs a matrix with cells having descending values.
descending(int, int) - Method in class cern.colt.matrix.tint.IntFactory2D: Constructs a matrix with cells having descending values.
descending(int, int, int) - Method in class cern.colt.matrix.tint.IntFactory3D: Constructs a matrix with cells having descending values.
det() - Method in class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecomposition: Returns the determinant, det(A).
det() - Method in class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecompositionQuick: Returns the determinant, det(A).
det(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.DoubleAlgebra: Returns the determinant of matrix A.
det() - Method in class cern.colt.matrix.tfloat.algo.decomposition.FloatLUDecomposition: Returns the determinant, det(A).
det() - Method in class cern.colt.matrix.tfloat.algo.decomposition.FloatLUDecompositionQuick: Returns the determinant, det(A).
det(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.FloatAlgebra: Returns the determinant of matrix A.
dfault_f77(int, double[], double[], double[], int[], int[], int[], int[], int[], int[], int[], double[], double[], double[], double[]) - Static method in class optimization.Uncmin_f77: The dfault_f77 method sets default values for each input variable to the minimization algorithm.
dgemm(boolean, boolean, double, DoubleMatrix2D, DoubleMatrix2D, double, DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Generalized linear algebraic matrix-matrix multiply; C = alpha*A*B + beta*C.
dgemm(boolean, boolean, double, DoubleMatrix2D, DoubleMatrix2D, double, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dgemm(boolean, boolean, float, FloatMatrix2D, FloatMatrix2D, float, FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Generalized linear algebraic matrix-matrix multiply; C = alpha*A*B + beta*C.
dgemm(boolean, boolean, float, FloatMatrix2D, FloatMatrix2D, float, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dgemv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Generalized linear algebraic matrix-vector multiply; y = alpha*A*x + beta*y.
dgemv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dgemv(boolean, float, FloatMatrix2D, FloatMatrix1D, float, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Generalized linear algebraic matrix-vector multiply; y = alpha*A*x + beta*y.
dgemv(boolean, float, FloatMatrix2D, FloatMatrix1D, float, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dger(double, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Performs a rank 1 update; A = A + alpha*x*y'.
dger(double, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dger(float, FloatMatrix1D, FloatMatrix1D, FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Performs a rank 1 update; A = A + alpha*x*y'.
dger(float, FloatMatrix1D, FloatMatrix1D, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dht() - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D: Computes the discrete Hartley transform (DHT) of this matrix.
dht() - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D: Computes the discrete Hartley transform (DHT) of this matrix.
dht() - Method in class cern.colt.matrix.tint.impl.SparseIntMatrix1D
dht2() - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dht2() - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the 2D discrete Hartley transform (DHT) of this matrix.
dht2() - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dht2() - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the 2D discrete Hartley transform (DHT) of this matrix.
dht2Slices() - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Computes the 2D discrete Hartley transform (DHT) of each slice of this matrix.
dht2Slices() - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Computes the 2D discrete Hartley transform (DHT) of each slice of this matrix.
dht3() - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Computes the 3D discrete Hartley transform (DHT) of this matrix.
dht3() - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Computes the 3D discrete Hartley transform (DHT) of this matrix.
dhtColumns() - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dhtColumns() - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the discrete Hartley transform (DHT) of each column of this matrix.
dhtColumns() - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dhtColumns() - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the discrete Hartley transform (DHT) of each column of this matrix.
dhtRows() - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dhtRows() - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the discrete Hartley transform (DHT) of each row of this matrix.
dhtRows() - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dhtRows() - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the discrete Hartley transform (DHT) of each row of this matrix.
diagonal(DComplexMatrix1D) - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(DComplexMatrix2D) - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Constructs a new vector consisting of the diagonal elements of A .
diagonal(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(double[]) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Constructs a new vector consisting of the diagonal elements of A .
diagonal(FComplexMatrix1D) - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(FComplexMatrix2D) - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Constructs a new vector consisting of the diagonal elements of A .
diagonal(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(float[]) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Constructs a new vector consisting of the diagonal elements of A .
diagonal(IntMatrix1D) - Method in class cern.colt.matrix.tint.IntFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(int[]) - Method in class cern.colt.matrix.tint.IntFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(IntMatrix2D) - Method in class cern.colt.matrix.tint.IntFactory2D: Constructs a new vector consisting of the diagonal elements of A .
diagonal(ObjectMatrix1D) - Method in class cern.colt.matrix.tobject.ObjectFactory2D: Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(ObjectMatrix2D) - Method in class cern.colt.matrix.tobject.ObjectFactory2D: Constructs a new vector consisting of the diagonal elements of A .
DiagonalDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Diagonal 2-d matrix holding double elements.
DiagonalDoubleMatrix2D(double[][], int) - Constructor for class cern.colt.matrix.tdouble.impl.DiagonalDoubleMatrix2D: Constructs a matrix with a copy of the given values.
DiagonalDoubleMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tdouble.impl.DiagonalDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
DiagonalFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Diagonal 2-d matrix holding float elements.
DiagonalFloatMatrix2D(float[][], int) - Constructor for class cern.colt.matrix.tfloat.impl.DiagonalFloatMatrix2D: Constructs a matrix with a copy of the given values.
DiagonalFloatMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tfloat.impl.DiagonalFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
dimensions() - Method in interface hep.aida.tdouble.DoubleIHistogram: Returns 1 for one-dimensional histograms, 2 for two-dimensional histograms, and so on.
dimensions() - Method in interface hep.aida.tfloat.FloatIHistogram: Returns 1 for one-dimensional histograms, 2 for two-dimensional histograms, and so on.
dindex() - Method in class cern.colt.matrix.tdouble.impl.DiagonalDoubleMatrix2D
dindex() - Method in class cern.colt.matrix.tfloat.impl.DiagonalFloatMatrix2D
display() - Method in class cern.colt.Timer: Prints the elapsed time on System.out
distance(DoubleMatrix2D, DoubleStatistic.VectorVectorFunction) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic: Constructs and returns the distance matrix of the given matrix.
distance(FloatMatrix2D, FloatStatistic.VectorVectorFunction) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic: Constructs and returns the distance matrix of the given matrix.
DistinctNumberList - Class in cern.colt.list.tlong: Resizable compressed list holding numbers; based on the fact that a number from a large list with few distinct values need not take more than log(distinctValues) bits; implemented with a MinMaxNumberList.
DistinctNumberList(long[], int) - Constructor for class cern.colt.list.tlong.DistinctNumberList: Constructs an empty list with the specified initial capacity and the specified distinct values allowed to be hold in this list.
Distributions - Class in cern.jet.random.tdouble: Contains methods for conveniently generating pseudo-random numbers from special distributions such as the Burr, Cauchy, Erlang, Geometric, Lambda, Laplace, Logistic, Weibull, etc.
div(double[], double, double) - Static method in class cern.jet.math.tdcomplex.DComplex
div(double[], double[]) - Static method in class cern.jet.math.tdcomplex.DComplex
div - Static variable in class cern.jet.math.tdcomplex.DComplexFunctions: Binary functions
div(double[]) - Static method in class cern.jet.math.tdcomplex.DComplexFunctions
div(double) - Static method in class cern.jet.math.tdcomplex.DComplexFunctions
div(double[]) - Static method in class cern.jet.math.tdcomplex.DComplexMult: a / constant.
div - Static variable in class cern.jet.math.tdouble.DoubleFunctions: Function that returns a / b.
div(double) - Static method in class cern.jet.math.tdouble.DoubleFunctions: Constructs a function that returns a / b.
div(double) - Static method in class cern.jet.math.tdouble.DoubleMult: a / constant.
div(float[], float, float) - Static method in class cern.jet.math.tfcomplex.FComplex
div(float[], float[]) - Static method in class cern.jet.math.tfcomplex.FComplex
div - Static variable in class cern.jet.math.tfcomplex.FComplexFunctions: Binary functions
div(float[]) - Static method in class cern.jet.math.tfcomplex.FComplexFunctions
div(float) - Static method in class cern.jet.math.tfcomplex.FComplexFunctions
div(float[]) - Static method in class cern.jet.math.tfcomplex.FComplexMult: a / constant.
div - Static variable in class cern.jet.math.tfloat.FloatFunctions: Function that returns a / b.
div(float) - Static method in class cern.jet.math.tfloat.FloatFunctions: Constructs a function that returns a / b.
div(float) - Static method in class cern.jet.math.tfloat.FloatMult: a / constant.
div - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a / b.
div(int) - Static method in class cern.jet.math.tint.IntFunctions: Constructs a function that returns a / b.
div(int) - Static method in class cern.jet.math.tint.IntMult: a / constant.
divNeg - Static variable in class cern.jet.math.tdouble.DoubleFunctions: Function that returns -(a / b).
divNeg - Static variable in class cern.jet.math.tfloat.FloatFunctions: Function that returns -(a / b).
dlength() - Method in class cern.colt.matrix.tdouble.impl.DiagonalDoubleMatrix2D
dlength() - Method in class cern.colt.matrix.tfloat.impl.DiagonalFloatMatrix2D
dnrm2(DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Return the 2-norm; sqrt(x[0]^2 + x[1]^2 + ...).
dnrm2(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dnrm2(FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Return the 2-norm; sqrt(x[0]^2 + x[1]^2 + ...).
dnrm2(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dnrm2_f77(int, double[], int) - Static method in class optimization.Blas_f77: This method calculates the Euclidean norm of the vector stored in dx with storage increment incx.
dnrm2p_f77(int, double[], int) - Static method in class optimization.Blas_f77: This method calculates the Euclidean norm of a portion of a vector x.
dogdrv_f77(int, double[], double[], double[], double[][], double[], double[], double[], Uncmin_methods, double[], double[], double[], double[], int[], boolean[], double[], double[], double[], double[]) - Static method in class optimization.Uncmin_f77: The dogdrv_f77 method finds the next Newton iterate (xpls) by the double dogleg method.
dogstp_f77(int, double[], double[][], double[], double[], double, double[], boolean[], boolean[], double[], double[], double[], double[], double[], double[]) - Static method in class optimization.Uncmin_f77: The dogstp_f77 method finds the new step by the double dogleg appproach.
Double27Function - Interface in cern.colt.function.tdouble: Interface that represents a function object: a function that takes 27 arguments and returns a single value.
Double5Function - Interface in cern.colt.function.tdouble: Interface that represents a function object: a function that takes 5 arguments and returns a single value.
Double9Function - Interface in cern.colt.function.tdouble: Interface that represents a function object: a function that takes 9 arguments and returns a single value.
DoubleAlgebra - Class in cern.colt.matrix.tdouble.algo: Linear algebraic matrix operations operating on DoubleMatrix2D; concentrates most functionality of this package.
DoubleAlgebra() - Constructor for class cern.colt.matrix.tdouble.algo.DoubleAlgebra: Constructs a new instance with an equality tolerance given by Property.DEFAULT.tolerance().
DoubleAlgebra(double) - Constructor for class cern.colt.matrix.tdouble.algo.DoubleAlgebra: Constructs a new instance with the given equality tolerance.
DoubleAMG - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner: Algebraic multigrid preconditioner.
DoubleAMG(double, double, double, double, int, int, int, int, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleAMG: Sets up the algebraic multigrid preconditioner
DoubleAMG(double, double, int, int, int, int, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleAMG: Sets up the algebraic multigrid preconditioner.
DoubleAMG() - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleAMG: Sets up the algebraic multigrid preconditioner using some default parameters.
DoubleArithmetic - Class in cern.jet.math.tdouble: Arithmetic functions.
DoubleArrayList - Class in cern.colt.list.tdouble: Resizable list holding double elements; implemented with arrays.
DoubleArrayList() - Constructor for class cern.colt.list.tdouble.DoubleArrayList: Constructs an empty list.
DoubleArrayList(double[]) - Constructor for class cern.colt.list.tdouble.DoubleArrayList: Constructs a list containing the specified elements.
DoubleArrayList(int) - Constructor for class cern.colt.list.tdouble.DoubleArrayList: Constructs an empty list with the specified initial capacity.
DoubleBiCG - Class in cern.colt.matrix.tdouble.algo.solver: BiCG solver.
DoubleBiCG(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleBiCG: Constructor for BiCG.
DoubleBiCGstab - Class in cern.colt.matrix.tdouble.algo.solver: BiCG stablized solver.
DoubleBiCGstab(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleBiCGstab: Constructor for BiCGstab.
DoubleBinBinFunction1D - Interface in hep.aida.tdouble.bin: Interface that represents a function object: a function that takes two bins as arguments and returns a single value.
DoubleBinFunction1D - Interface in hep.aida.tdouble.bin: Interface that represents a function object: a function that takes two bins as arguments and returns a single value.
DoubleBinFunctions1D - Class in hep.aida.tdouble.bin: Function objects computing dynamic bin aggregations; to be passed to generic methods.
DoubleBlas - Interface in cern.colt.matrix.tdouble.algo: Subset of the BLAS (Basic Linear Algebra System); High quality "building block" routines for performing basic vector and matrix operations.
DoubleBuffer - Class in cern.colt.buffer.tdouble: Fixed sized (non resizable) streaming buffer connected to a target DoubleBufferConsumer to which data is automatically flushed upon buffer overflow.
DoubleBuffer(DoubleBufferConsumer, int) - Constructor for class cern.colt.buffer.tdouble.DoubleBuffer: Constructs and returns a new buffer with the given target.
DoubleBuffer - Class in cern.jet.stat.tdouble.quantile: A buffer holding double elements; internally used for computing approximate quantiles.
DoubleBuffer(int) - Constructor for class cern.jet.stat.tdouble.quantile.DoubleBuffer: This method was created in VisualAge.
DoubleBuffer2D - Class in cern.colt.buffer.tdouble: Fixed sized (non resizable) streaming buffer connected to a target DoubleBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
DoubleBuffer2D(DoubleBuffer2DConsumer, int) - Constructor for class cern.colt.buffer.tdouble.DoubleBuffer2D: Constructs and returns a new buffer with the given target.
DoubleBuffer2DConsumer - Interface in cern.colt.buffer.tdouble: Target of a streaming DoubleBuffer2D into which data is flushed upon buffer overflow.
DoubleBuffer3D - Class in cern.colt.buffer.tdouble: Fixed sized (non resizable) streaming buffer connected to a target DoubleBuffer3DConsumer to which data is automatically flushed upon buffer overflow.
DoubleBuffer3D(DoubleBuffer3DConsumer, int) - Constructor for class cern.colt.buffer.tdouble.DoubleBuffer3D: Constructs and returns a new buffer with the given target.
DoubleBuffer3DConsumer - Interface in cern.colt.buffer.tdouble: Target of a streaming DoubleBuffer3D into which data is flushed upon buffer overflow.
DoubleBufferConsumer - Interface in cern.colt.buffer.tdouble: Target of a streaming DoubleBuffer into which data is flushed upon buffer overflow.
DoubleCG - Class in cern.colt.matrix.tdouble.algo.solver: Conjugate Gradients solver.
DoubleCG(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleCG: Constructor for CG.
DoubleCGLS - Class in cern.colt.matrix.tdouble.algo.solver: CGLS is Conjugate Gradient for Least Squares method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise.
DoubleCGLS() - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleCGLS
DoubleCGS - Class in cern.colt.matrix.tdouble.algo.solver: Conjugate Gradients squared solver.
DoubleCGS(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleCGS: Constructor for CGS.
DoubleChebyshev - Class in cern.colt.matrix.tdouble.algo.solver: Chebyshev solver.
DoubleChebyshev(DoubleMatrix1D, double, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleChebyshev: Constructor for Chebyshev.
DoubleCholeskyDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For a symmetric, positive definite matrix A, the Cholesky decomposition is a lower triangular matrix L so that A = L*L'; If the matrix is not symmetric or positive definite, the constructor returns a partial decomposition and sets an internal flag that may be queried by the isSymmetricPositiveDefinite() method.
DoubleCholeskyDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleCholeskyDecomposition: Constructs and returns a new Cholesky decomposition object for a symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
DoubleComparator - Interface in cern.colt.function.tdouble: A comparison function which imposes a total ordering on some collection of elements.
DoubleConstants - Class in cern.jet.math.tdouble: Defines some useful constants.
DoubleConverter - Class in hep.aida.tdouble.ref: Histogram conversions, for example to String and XML format; This class requires the Colt distribution, whereas the rest of the package is entirelly stand-alone.
DoubleConverter() - Constructor for class hep.aida.tdouble.ref.DoubleConverter: Creates a new histogram converter.
DoubleDCT_1D - Class in edu.emory.mathcs.jtransforms.dct: Computes 1D Discrete Cosine Transform (DCT) of double precision data.
DoubleDCT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dct.DoubleDCT_1D: Creates new instance of DoubleDCT_1D.
DoubleDCT_2D - Class in edu.emory.mathcs.jtransforms.dct: Computes 2D Discrete Cosine Transform (DCT) of double precision data.
DoubleDCT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dct.DoubleDCT_2D: Creates new instance of DoubleDCT_2D.
DoubleDCT_3D - Class in edu.emory.mathcs.jtransforms.dct: Computes 3D Discrete Cosine Transform (DCT) of double precision data.
DoubleDCT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dct.DoubleDCT_3D: Creates new instance of DoubleDCT_3D.
DoubleDescriptive - Class in cern.jet.stat.tdouble: Basic descriptive statistics.
DoubleDHT_1D - Class in edu.emory.mathcs.jtransforms.dht: Computes 1D Discrete Hartley Transform (DHT) of real, double precision data.
DoubleDHT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dht.DoubleDHT_1D: Creates new instance of DoubleDHT_1D.
DoubleDHT_2D - Class in edu.emory.mathcs.jtransforms.dht: Computes 2D Discrete Hartley Transform (DHT) of real, double precision data.
DoubleDHT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dht.DoubleDHT_2D: Creates new instance of DoubleDHT_2D.
DoubleDHT_3D - Class in edu.emory.mathcs.jtransforms.dht: Computes 3D Discrete Hartley Transform (DHT) of real, double precision data.
DoubleDHT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dht.DoubleDHT_3D: Creates new instance of DoubleDHT_3D.
DoubleDiagonal - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner: Diagonal preconditioner.
DoubleDiagonal(int) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleDiagonal: Constructor for DiagonalPreconditioner
DoubleDoubleFunction - Interface in cern.colt.function.tdouble: Interface that represents a function object: a function that takes two arguments and returns a single value.
DoubleDoubleProcedure - Interface in cern.colt.function.tdouble: Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
DoubleDST_1D - Class in edu.emory.mathcs.jtransforms.dst: Computes 1D Discrete Sine Transform (DST) of double precision data.
DoubleDST_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dst.DoubleDST_1D: Creates new instance of DoubleDST_1D.
DoubleDST_2D - Class in edu.emory.mathcs.jtransforms.dst: Computes 2D Discrete Sine Transform (DST) of double precision data.
DoubleDST_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dst.DoubleDST_2D: Creates new instance of DoubleDST_2D.
DoubleDST_3D - Class in edu.emory.mathcs.jtransforms.dst: Computes 3D Discrete Sine Transform (DST) of double precision data.
DoubleDST_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dst.DoubleDST_3D: Creates new instance of DoubleDST_3D.
DoubleEigenvalueDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: Eigenvalues and eigenvectors of a real matrix A.
DoubleEigenvalueDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleEigenvalueDecomposition: Constructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
DoubleEquiDepthHistogram - Class in cern.jet.stat.tdouble.quantile: Read-only equi-depth histogram for selectivity estimation.
DoubleEquiDepthHistogram(double[]) - Constructor for class cern.jet.stat.tdouble.quantile.DoubleEquiDepthHistogram: Constructs an equi-depth histogram with the given quantile elements.
DoubleFactory1D - Class in cern.colt.matrix.tdouble: Factory for convenient construction of 1-d matrices holding double cells.
DoubleFactory2D - Class in cern.colt.matrix.tdouble: Factory for convenient construction of 2-d matrices holding double cells.
DoubleFactory3D - Class in cern.colt.matrix.tdouble: Factory for convenient construction of 3-d matrices holding double cells.
DoubleFFT_1D - Class in edu.emory.mathcs.jtransforms.fft: Computes 1D Discrete Fourier Transform (DFT) of complex and real, double precision data.
DoubleFFT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D: Creates new instance of DoubleFFT_1D.
DoubleFFT_2D - Class in edu.emory.mathcs.jtransforms.fft: Computes 2D Discrete Fourier Transform (DFT) of complex and real, double precision data.
DoubleFFT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D: Creates new instance of DoubleFFT_2D.
DoubleFFT_3D - Class in edu.emory.mathcs.jtransforms.fft: Computes 3D Discrete Fourier Transform (DFT) of complex and real, double precision data.
DoubleFFT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D: Creates new instance of DoubleFFT_3D.
DoubleFixedAxis - Class in hep.aida.tdouble.ref: Fixed-width axis; A reference implementation of hep.aida.IAxis.
DoubleFixedAxis(int, double, double) - Constructor for class hep.aida.tdouble.ref.DoubleFixedAxis: Create an Axis
DoubleFmin - Class in optimization: This class was translated by a statistician from the FORTRAN version of fmin.
DoubleFmin() - Constructor for class optimization.DoubleFmin
DoubleFmin_methods - Interface in optimization
DoubleFormatter - Class in cern.colt.matrix.tdouble.algo: Flexible, well human readable matrix print formatting; By default decimal point aligned.
DoubleFormatter() - Constructor for class cern.colt.matrix.tdouble.algo.DoubleFormatter: Constructs and returns a matrix formatter with format "%G".
DoubleFormatter(String) - Constructor for class cern.colt.matrix.tdouble.algo.DoubleFormatter: Constructs and returns a matrix formatter.
DoubleFunction - Interface in cern.colt.function.tdouble: Interface that represents a function object: a function that takes a single argument and returns a single value.
DoubleFunctions - Class in cern.jet.math.tdouble: Function objects to be passed to generic methods.
DoubleGivensRotation - Class in cern.colt.matrix.tdouble.algo.solver: Givens plane rotation
DoubleGivensRotation(double, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleGivensRotation: Constructs a Givens plane rotation for a given 2-vector
DoubleGMRES - Class in cern.colt.matrix.tdouble.algo.solver: GMRES solver.
DoubleGMRES(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleGMRES: Constructor for GMRES.
DoubleGMRES(DoubleMatrix1D, int) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleGMRES: Constructor for GMRES.
DoubleHistogram1D - Class in hep.aida.tdouble.ref: A reference implementation of hep.aida.IHistogram1D.
DoubleHistogram1D(String, double[]) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram1D: Creates a variable-width histogram.
DoubleHistogram1D(String, DoubleIAxis) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram1D: Creates a histogram with the given axis binning.
DoubleHistogram1D(String, int, double, double) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram1D: Creates a fixed-width histogram.
DoubleHistogram1DContents - Class in hep.aida.tdouble.ref
DoubleHistogram1DContents(int[], double[], double[], int, double, double, double, double) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram1DContents
DoubleHistogram2D - Class in hep.aida.tdouble.ref: A reference implementation of hep.aida.IHistogram2D.
DoubleHistogram2D(String, double[], double[]) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram2D: Creates a variable-width histogram.
DoubleHistogram2D(String, int, double, double, int, double, double) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram2D: Creates a fixed-width histogram.
DoubleHistogram2D(String, DoubleIAxis, DoubleIAxis) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram2D: Creates a histogram with the given axis binning.
DoubleHistogram3D - Class in hep.aida.tdouble.ref: A reference implementation of hep.aida.IHistogram3D.
DoubleHistogram3D(String, double[], double[], double[]) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram3D: Creates a variable-width histogram.
DoubleHistogram3D(String, int, double, double, int, double, double, int, double, double) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram3D: Creates a fixed-width histogram.
DoubleHistogram3D(String, DoubleIAxis, DoubleIAxis, DoubleIAxis) - Constructor for class hep.aida.tdouble.ref.DoubleHistogram3D: Creates a histogram with the given axis binning.
DoubleHyBR - Class in cern.colt.matrix.tdouble.algo.solver: HyBR is a Hybrid Bidiagonalization Regularization method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise The method combines an iterative Lanczos Bidiagonalization (LBD) Method with an SVD-based regularization method to stabilize the semiconvergence behavior that is characteristic of many ill-posed problems.
DoubleHyBR() - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleHyBR: Creates new instance of HyBR solver with default parameters: innerSolver = HyBR.InnerSolver.TIKHONOV regularizationMethod = HyBR.RegularizationMethod.ADAPTWGCV regularizationParameter = 0 omega = 0 reorthogonalize = false beginRegularization = 2 flatTolerance = 1e-6 computeRnrm = false;
DoubleHyBR(HyBRInnerSolver, HyBRRegularizationMethod, double, double, boolean, int, double, boolean) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleHyBR: Creates new instance of HyBR solver.
DoubleIAxis - Interface in hep.aida.tdouble: An IAxis represents a binned histogram axis.
DoubleICC - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner: Incomplete Cholesky preconditioner without fill-in using a compressed row matrix as internal storage
DoubleICC(RCDoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleICC: Sets up the ICC preconditioner
DoubleIdentity - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner
DoubleIdentity() - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleIdentity
DoubleIHistogram - Interface in hep.aida.tdouble: A common base interface for IHistogram1D, IHistogram2D and IHistogram3D.
DoubleIHistogram1D - Interface in hep.aida.tdouble: A Java interface corresponding to the AIDA 1D Histogram.
DoubleIHistogram2D - Interface in hep.aida.tdouble: A Java interface corresponding to the AIDA 2D Histogram.
DoubleIHistogram3D - Interface in hep.aida.tdouble: A Java interface corresponding to the AIDA 3D Histogram.
DoubleILU - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner: ILU(0) preconditioner using a compressed row matrix as internal storage
DoubleILU(RCDoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleILU: Sets up the ILU preconditioner
DoubleILUT - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner: ILU preconditioner with fill-in.
DoubleILUT(RCMDoubleMatrix2D, double, int) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleILUT: Sets up the preconditioner for the given matrix
DoubleILUT(RCMDoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleILUT: Sets up the preconditioner for the given matrix.
DoubleIntProcedure - Interface in cern.colt.function.tdouble: Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
DoubleIR - Class in cern.colt.matrix.tdouble.algo.solver: Iterative Refinement.
DoubleIR(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleIR: Constructor for IR.
DoubleIterationMonitor - Interface in cern.colt.matrix.tdouble.algo.solver: Monitors the iterative solution process for convergence and divergence.
DoubleIterationReporter - Interface in cern.colt.matrix.tdouble.algo.solver: Reports on the progress of an iterative solver
DoubleIterativeSolver - Interface in cern.colt.matrix.tdouble.algo.solver: Iterative linear solver.
DoubleListAdapter - Class in cern.colt.list.tdouble: Adapter that permits an AbstractDoubleList to be viewed and treated as a JDK 1.2 AbstractList.
DoubleListAdapter(AbstractDoubleList) - Constructor for class cern.colt.list.tdouble.DoubleListAdapter: Constructs a list backed by the specified content list.
DoubleLUDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For an m x n matrix A with m >= n, the LU decomposition is an m x n unit lower triangular matrix L, an n x n upper triangular matrix U, and a permutation vector piv of length m so that A(piv,:) = L*U; If m < n, then L is m x m and U is m x n.
DoubleLUDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecomposition: Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
DoubleLUDecompositionQuick - Class in cern.colt.matrix.tdouble.algo.decomposition: A low level version of DoubleLUDecomposition, avoiding unnecessary memory allocation and copying.
DoubleLUDecompositionQuick() - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecompositionQuick: Constructs and returns a new LU Decomposition object with default tolerance 1.0E-9 for singularity detection.
DoubleLUDecompositionQuick(double) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleLUDecompositionQuick: Constructs and returns a new LU Decomposition object which uses the given tolerance for singularity detection;
DoubleMatrix1D - Class in cern.colt.matrix.tdouble: Abstract base class for 1-d matrices (aka vectors) holding double elements.
DoubleMatrix1DComparator - Interface in cern.colt.matrix.tdouble.algo: A comparison function which imposes a total ordering on some collection of elements.
DoubleMatrix1DProcedure - Interface in cern.colt.matrix.tdouble: Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DoubleMatrix2D - Class in cern.colt.matrix.tdouble: Abstract base class for 2-d matrices holding double elements.
DoubleMatrix2DComparator - Interface in cern.colt.matrix.tdouble.algo: A comparison function which imposes a total ordering on some collection of elements.
DoubleMatrix2DMatrix2DFunction - Interface in cern.colt.matrix.tdouble.algo: Interface that represents a function object: a function that takes two arguments and returns a single value.
DoubleMatrix2DProcedure - Interface in cern.colt.matrix.tdouble: Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DoubleMatrix3D - Class in cern.colt.matrix.tdouble: Abstract base class for 3-d matrices holding double elements.
DoubleMatrix3DProcedure - Interface in cern.colt.matrix.tdouble: Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DoubleMersenneTwister - Class in cern.jet.random.tdouble.engine: MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick.
DoubleMersenneTwister() - Constructor for class cern.jet.random.tdouble.engine.DoubleMersenneTwister: Constructs and returns a random number generator with a default seed, which is a constant.
DoubleMersenneTwister(int) - Constructor for class cern.jet.random.tdouble.engine.DoubleMersenneTwister: Constructs and returns a random number generator with the given seed.
DoubleMersenneTwister(Date) - Constructor for class cern.jet.random.tdouble.engine.DoubleMersenneTwister: Constructs and returns a random number generator seeded with the given date.
DoubleMRNSD - Class in cern.colt.matrix.tdouble.algo.solver: MRNSD is Modified Residual Norm Steepest Descent method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise.
DoubleMRNSD() - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleMRNSD
DoubleMult - Class in cern.jet.math.tdouble: Only for performance tuning of compute intensive linear algebraic computations.
DoubleNotConvergedException - Exception in cern.colt.matrix.tdouble.algo.solver: Signals lack of convergence of an iterative process
DoubleNotConvergedException(DoubleNotConvergedException.Reason, String) - Constructor for exception cern.colt.matrix.tdouble.algo.solver.DoubleNotConvergedException: Constructor for NotConvergedException
DoubleNotConvergedException(DoubleNotConvergedException.Reason) - Constructor for exception cern.colt.matrix.tdouble.algo.solver.DoubleNotConvergedException: Constructor for NotConvergedException.
DoubleNotConvergedException.Reason - Enum in cern.colt.matrix.tdouble.algo.solver: Possible reasons for lack of convergence
DoublePartitioning - Class in cern.colt.matrix.tdouble.algo: Given some interval boundaries, partitions matrices such that cell values falling into an interval are placed next to each other.
DoublePlusMultFirst - Class in cern.jet.math.tdouble: Only for performance tuning of compute intensive linear algebraic computations.
DoublePlusMultSecond - Class in cern.jet.math.tdouble: Only for performance tuning of compute intensive linear algebraic computations.
DoublePreconditioner - Interface in cern.colt.matrix.tdouble.algo.solver.preconditioner: Preconditioner interface.
DoubleProcedure - Interface in cern.colt.function.tdouble: Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
DoubleProperty - Class in cern.colt.matrix.tdouble.algo: Tests matrices for linear algebraic properties (equality, tridiagonality, symmetry, singularity, etc).
DoubleProperty(double) - Constructor for class cern.colt.matrix.tdouble.algo.DoubleProperty: Constructs an instance with a tolerance of Math.abs(newTolerance).
DoubleQMR - Class in cern.colt.matrix.tdouble.algo.solver: Quasi-Minimal Residual method.
DoubleQMR(DoubleMatrix1D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleQMR: Constructor for QMR.
DoubleQMR(DoubleMatrix1D, DoublePreconditioner, DoublePreconditioner) - Constructor for class cern.colt.matrix.tdouble.algo.solver.DoubleQMR: Constructor for QMR.
DoubleQRDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For an m x n matrix A with m >= n, the QR decomposition is an m x n orthogonal matrix Q and an n x n upper triangular matrix R so that A = Q*R.
DoubleQRDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleQRDecomposition: Constructs and returns a new QR decomposition object; computed by Householder reflections; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
DoubleQuantileFinder - Interface in cern.jet.stat.tdouble.quantile: The interface shared by all quantile finders, no matter if they are exact or approximate.
DoubleQuantileFinderFactory - Class in cern.jet.stat.tdouble.quantile: Factory constructing exact and approximate quantile finders for both known and unknown N.
DoubleRandomEngine - Class in cern.jet.random.tdouble.engine: Abstract base class for uniform pseudo-random number generating engines.
DoubleRandomSampler - Class in cern.jet.random.tdouble.sampling: Space and time efficiently computes a sorted Simple Random Sample Without Replacement (SRSWOR), that is, a sorted set of n random numbers from an interval of N numbers; Example: Computing n=3 random numbers from the interval [1,50] may yield the sorted random set (7,13,47).
DoubleRandomSampler(long, long, long, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.sampling.DoubleRandomSampler: Constructs a random sampler that computes and delivers sorted random sets in blocks.
DoubleRandomSamplingAssistant - Class in cern.jet.random.tdouble.sampling: Conveniently computes a stable Simple Random Sample Without Replacement (SRSWOR) subsequence of n elements from a given input sequence of N elements; Example: Computing a sublist of n=3 random elements from a list (1,...,50) may yield the sublist (7,13,47).
DoubleRandomSamplingAssistant(long, long, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.sampling.DoubleRandomSamplingAssistant: Constructs a random sampler that samples n random elements from an input sequence of N elements.
DoubleSingularValueDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For an m x n matrix A with m >= n, the singular value decomposition is an m x n orthogonal matrix U, an n x n diagonal matrix S, and an n x n orthogonal matrix V so that A = U*S*V'.
DoubleSingularValueDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleSingularValueDecomposition: Constructs and returns a new singular value decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
DoubleSingularValueDecompositionDC - Class in cern.colt.matrix.tdouble.algo.decomposition: For an m x n matrix A, the singular value decomposition is an m x m orthogonal matrix U, an m x n diagonal matrix S, and an n x n orthogonal matrix V so that A = U*S*V'.
DoubleSingularValueDecompositionDC(DoubleMatrix2D, boolean, boolean) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.DoubleSingularValueDecompositionDC: Constructs and returns a new singular value decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
DoubleSorting - Class in cern.colt.matrix.tdouble.algo: Matrix quicksorts and mergesorts.
DoubleSSOR - Class in cern.colt.matrix.tdouble.algo.solver.preconditioner: SSOR preconditioner.
DoubleSSOR(RCDoubleMatrix2D, boolean, double, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleSSOR: Constructor for SSOR
DoubleSSOR(RCDoubleMatrix2D) - Constructor for class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleSSOR: Constructor for SSOR.
DoubleStatistic - Class in cern.colt.matrix.tdouble.algo: Basic statistics operations on matrices.
DoubleStatistic.VectorVectorFunction - Interface in cern.colt.matrix.tdouble.algo: Interface that represents a function object: a function that takes two argument vectors and returns a single value.
DoubleStencil - Class in cern.colt.matrix.tdouble.algo: Stencil operations.
DoubleUniform - Class in cern.jet.random.tdouble: Uniform distribution; Math definition and animated definition.
DoubleUniform(double, double, int) - Constructor for class cern.jet.random.tdouble.DoubleUniform: Constructs a uniform distribution with the given minimum and maximum, using a DoubleMersenneTwister seeded with the given seed.
DoubleUniform(double, double, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.DoubleUniform: Constructs a uniform distribution with the given minimum and maximum.
DoubleUniform(DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.DoubleUniform: Constructs a uniform distribution with min=0.0 and max=1.0.
DoubleVariableAxis - Class in hep.aida.tdouble.ref: Variable-width axis; A reference implementation of hep.aida.IAxis.
DoubleVariableAxis(double[]) - Constructor for class hep.aida.tdouble.ref.DoubleVariableAxis: Constructs and returns an axis with the given bin edges.
DRand - Class in cern.jet.random.tdouble.engine: Quick medium quality uniform pseudo-random number generator.
DRand() - Constructor for class cern.jet.random.tdouble.engine.DRand: Constructs and returns a random number generator with a default seed, which is a constant.
DRand(int) - Constructor for class cern.jet.random.tdouble.engine.DRand: Constructs and returns a random number generator with the given seed.
DRand(Date) - Constructor for class cern.jet.random.tdouble.engine.DRand: Constructs and returns a random number generator seeded with the given date.
drot(DoubleMatrix1D, DoubleMatrix1D, double, double) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Applies a givens plane rotation to (x,y); x = c*x + s*y; y = c*y - s*x.
drot(DoubleMatrix1D, DoubleMatrix1D, double, double) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
drot(FloatMatrix1D, FloatMatrix1D, float, float) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Applies a givens plane rotation to (x,y); x = c*x + s*y; y = c*y - s*x.
drot(FloatMatrix1D, FloatMatrix1D, float, float) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
drotg(double, double, double[]) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Constructs a Givens plane rotation for (a,b).
drotg(double, double, double[]) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
drotg(float, float, float[]) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Constructs a Givens plane rotation for (a,b).
drotg(float, float, float[]) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
drotg_f77(double[]) - Static method in class optimization.Blas_f77: This method constructs a Givens plane rotation.
dscal(double, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Vector scaling; x = alpha*x.
dscal(double, DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Matrix scaling; A = alpha*A.
dscal(double, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dscal(double, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dscal(float, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Vector scaling; x = alpha*x.
dscal(float, FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Matrix scaling; A = alpha*A.
dscal(float, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dscal(float, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dscal_f77(int, double, double[], int) - Static method in class optimization.Blas_f77: This method scales a vector by a constant.
dscalp_f77(int, double, double[], int) - Static method in class optimization.Blas_f77: This method scales a portion of a vector by a constant.
dst(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D: Computes the discrete sine transform (DST-II) of this matrix.
dst(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D: Computes the discrete sine transform (DST-II) of this matrix.
dst(boolean) - Method in class cern.colt.matrix.tint.impl.SparseIntMatrix1D
dst2(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dst2(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the 2D discrete sine transform (DST-II) of this matrix.
dst2(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dst2(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the 2D discrete sine transform (DST-II) of this matrix.
dst2Slices(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Computes the 2D discrete sine transform (DST-II) of each slice of this matrix.
dst2Slices(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Computes the 2D discrete sine transform (DST-II) of each slice of this matrix.
dst3(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D: Computes the 3D discrete sine transform (DST-II) of this matrix.
dst3(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D: Computes the 3D discrete sine transform (DST-II) of this matrix.
dstColumns(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dstColumns(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the discrete sine transform (DST-II) of each column of this matrix.
dstColumns(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dstColumns(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the discrete sine transform (DST-II) of each column of this matrix.
dstRows(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseColDoubleMatrix2D
dstRows(boolean) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D: Computes the discrete sine transform (DST-II) of each row of this matrix.
dstRows(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseColFloatMatrix2D
dstRows(boolean) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D: Computes the discrete sine transform (DST-II) of each row of this matrix.
dswap(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Swaps the elements of two vectors; y <==> x.
dswap(DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Swaps the elements of two matrices; B <==> A.
dswap(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dswap(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dswap(FloatMatrix1D, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Swaps the elements of two vectors; y <==> x.
dswap(FloatMatrix2D, FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Swaps the elements of two matrices; B <==> A.
dswap(FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dswap(FloatMatrix2D, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dswap_f77(int, double[], int, double[], int) - Static method in class optimization.Blas_f77: This method interchanges two vectors.
dsymv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Symmetric matrix-vector multiplication; y = alpha*A*x + beta*y.
dsymv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dsymv(boolean, float, FloatMatrix2D, FloatMatrix1D, float, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Symmetric matrix-vector multiplication; y = alpha*A*x + beta*y.
dsymv(boolean, float, FloatMatrix2D, FloatMatrix1D, float, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dtrmv(boolean, boolean, boolean, DoubleMatrix2D, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.DoubleBlas: Triangular matrix-vector multiplication; x = A*x or x = A'*x.
dtrmv(boolean, boolean, boolean, DoubleMatrix2D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
dtrmv(boolean, boolean, boolean, FloatMatrix2D, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.FloatBlas: Triangular matrix-vector multiplication; x = A*x or x = A'*x.
dtrmv(boolean, boolean, boolean, FloatMatrix2D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SmpFloatBlas
dualPartition(double[], double[], int, int, double[], int, int, int[]) - Static method in class cern.colt.Partitioning: Same as Partitioning.dualPartition(int[],int[],int,int,int[],int,int,int[]) except that it synchronously partitions double[] rather than int[] arrays.
dualPartition(double[], double[], int, int, double) - Static method in class cern.colt.Partitioning: Same as Partitioning.dualPartition(int[],int[],int,int,int) except that it synchronously partitions double[] rather than int[] arrays.
dualPartition(int[], int[], int, int, int[], int, int, int[]) - Static method in class cern.colt.Partitioning: Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that this method synchronously partitions two arrays at the same time; both arrays are partially sorted according to the elements of the primary array.
dualPartition(int[], int[], int, int, int) - Static method in class cern.colt.Partitioning: Same as Partitioning.partition(int[],int,int,int) except that this method synchronously partitions two arrays at the same time; both arrays are partially sorted according to the elements of the primary array.
durbinWatson(DoubleArrayList) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Durbin-Watson computation.
durbinWatson(FloatArrayList) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Durbin-Watson computation.
DynamicDoubleBin1D - Class in hep.aida.tdouble.bin: 1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
DynamicDoubleBin1D() - Constructor for class hep.aida.tdouble.bin.DynamicDoubleBin1D: Constructs and returns an empty bin; implicitly calls setFixedOrder(false).
DynamicFloatBin1D - Class in hep.aida.tfloat.bin: 1-dimensional rebinnable bin holding float elements; Efficiently computes advanced statistics of data sequences.
DynamicFloatBin1D() - Constructor for class hep.aida.tfloat.bin.DynamicFloatBin1D: Constructs and returns an empty bin; implicitly calls setFixedOrder(false).

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