Parallel Colt 0.7.2
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

H

h_Planck - Static variable in class cern.clhep.PhysicalConstants
 
halfpi - Static variable in class cern.clhep.PhysicalConstants
 
harmonicMean(int, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive
Returns the harmonic mean of a data sequence.
harmonicMean(int, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive
Returns the harmonic mean of a data sequence.
harmonicMean() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
Returns the harmonic mean, which is size() / Sum( 1/x[i] ).
harmonicMean() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
Returns the harmonic mean, which is size() / Sum( 1/x[i] ).
hasFullRank() - Method in class cern.colt.matrix.tdouble.algo.decomposition.DoubleQRDecomposition
Returns whether the matrix A has full rank.
hasFullRank() - Method in class cern.colt.matrix.tfloat.algo.decomposition.FloatQRDecomposition
Returns whether the matrix A has full rank.
hash(char) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(double) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(float) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(int) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(long) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(Object) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified object.
hash(short) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(boolean) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hashCode() - Method in class cern.colt.matrix.tbit.BitMatrix
Returns a hash code value for the receiver.
hashCode() - Method in class cern.colt.matrix.tbit.BitVector
Returns a hash code value for the receiver.
HashFunctions - Class in cern.colt.map
Provides various hash functions.
hasInfo() - Method in class cern.colt.matrix.io.MatrixVectorReader
Checks if a Matrix Market header is present ("%%MatrixMarket")
hasSumOfInversions() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
Returns whether sumOfInversions() can return meaningful results.
hasSumOfInversions() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
Returns whether sumOfInversions() can return meaningful results.
hasSumOfLogarithms() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
Tells whether sumOfLogarithms() can return meaningful results.
hasSumOfLogarithms() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
Tells whether sumOfLogarithms() can return meaningful results.
hasSumOfPowers(int) - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
Tells whether sumOfPowers(k) can return meaningful results.
hasSumOfPowers(int) - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
Tells whether sumOfPowers(k) can return meaningful results.
hbar_Planck - Static variable in class cern.clhep.PhysicalConstants
 
hbarc - Static variable in class cern.clhep.PhysicalConstants
 
hbarc_squared - Static variable in class cern.clhep.PhysicalConstants
 
henry - Static variable in class cern.clhep.Units
 
hep.aida.tdouble - package hep.aida.tdouble
Interfaces for compact, extensible, modular and performant histogramming functionality.
hep.aida.tdouble.bin - package hep.aida.tdouble.bin
Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.
hep.aida.tdouble.ref - package hep.aida.tdouble.ref
Reference implementation of the AIDA histogram interfaces.
hep.aida.tfloat - package hep.aida.tfloat
Interfaces for compact, extensible, modular and performant histogramming functionality.
hep.aida.tfloat.bin - package hep.aida.tfloat.bin
Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.
hep.aida.tfloat.ref - package hep.aida.tfloat.ref
Reference implementation of the AIDA histogram interfaces.
hep_pascal - Static variable in class cern.clhep.Units
 
hertz - Static variable in class cern.clhep.Units
 
heschk_f77(int, double[], Uncmin_methods, double[], double[], double[][], double[], double[], double, double, int[], double[], double[], double[]) - Static method in class optimization.Uncmin_f77
The heschk_f77 method checks the analytic Hessian supplied by the user.
histogram(DoubleIHistogram1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
Fills all cells of the given vector into the given histogram.
histogram(DoubleIHistogram1D, DoubleMatrix2D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
Fills all cells of the given matrix into the given histogram.
histogram(DoubleIHistogram1D[][], DoubleMatrix2D, int, int) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
Splits the given matrix into m x n pieces and computes 1D histogram of each piece.
histogram(DoubleIHistogram2D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
Fills all cells of the given vectors into the given histogram.
histogram(DoubleIHistogram2D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
Fills all cells of the given vectors into the given histogram.
histogram(DoubleIHistogram3D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
Fills all cells of the given vectors into the given histogram.
histogram(FloatIHistogram1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
Fills all cells of the given vector into the given histogram.
histogram(FloatIHistogram1D, FloatMatrix2D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
Fills all cells of the given matrix into the given histogram.
histogram(FloatIHistogram1D[][], FloatMatrix2D, int, int) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
Splits the given matrix into m x n pieces and computes 1D histogram of each piece.
histogram(FloatIHistogram2D, FloatMatrix1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
Fills all cells of the given vectors into the given histogram.
histogram(FloatIHistogram2D, FloatMatrix1D, FloatMatrix1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
Fills all cells of the given vectors into the given histogram.
histogram(FloatIHistogram3D, FloatMatrix1D, FloatMatrix1D, FloatMatrix1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
Fills all cells of the given vectors into the given histogram.
hookdr_f77(int, double[], double[], double[], double[][], double[], double[], double[], double[], Uncmin_methods, double[], double[], double[], double[], int[], boolean[], double[], double[], double[], double[], double[], double[], double[], double, int[]) - Static method in class optimization.Uncmin_f77
The hookdr_f77 method finds a next Newton iterate (xpls) by the More-Hebdon technique.
hookst_f77(int, double[], double[][], double[], double[], double[], double, double[], double[], double[], double[], double[], boolean[], double[], boolean[], double[], double) - Static method in class optimization.Uncmin_f77
The hookst_f77 method finds a new step by the More-Hebdon algorithm.
hsnint_f77(int, double[][], double[], int[]) - Static method in class optimization.Uncmin_f77
The hsnint_f77 method provides the initial Hessian when secant updates are being used.
HyBRDoubleIterationMonitor - Class in cern.colt.matrix.tdouble.algo.solver
 
HyBRDoubleIterationMonitor() - Constructor for class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor
Constructor for HyBRDoubleIterationMonitor.
HyBRDoubleIterationMonitor(int, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor
Constructor for HyBRDoubleIterationMonitor
HyBRFloatIterationMonitor - Class in cern.colt.matrix.tfloat.algo.solver
 
HyBRFloatIterationMonitor() - Constructor for class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor
Constructor for HyBRFloatIterationMonitor.
HyBRFloatIterationMonitor(int, float) - Constructor for class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor
Constructor for HyBRFloatIterationMonitor
HyBRInnerSolver - Enum in cern.colt.matrix.tdouble.algo.solver
 
HyBRRegularizationMethod - Enum in cern.colt.matrix.tdouble.algo.solver
 
Hyperbolic - Class in cern.jet.random.tdouble
Hyperbolic distribution.
Hyperbolic(double, double, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.Hyperbolic
Constructs a Beta distribution.
HyperGeometric - Class in cern.jet.random.tdouble
HyperGeometric distribution; See the math definition The hypergeometric distribution with parameters N, n and s is the probability distribution of the random variable X, whose value is the number of successes in a sample of n items from a population of size N that has s 'success' items and N - s 'failure' items.
HyperGeometric(int, int, int, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.HyperGeometric
Constructs a HyperGeometric distribution.
hypot(double, double) - Static method in class cern.colt.matrix.tdouble.algo.DoubleAlgebra
Returns sqrt(a^2 + b^2) without under/overflow.
hypot(float, float) - Static method in class cern.colt.matrix.tfloat.algo.FloatAlgebra
Returns sqrt(a^2 + b^2) without under/overflow.
hypotFunction() - Static method in class cern.colt.matrix.tdouble.algo.DoubleAlgebra
Returns sqrt(a^2 + b^2) without under/overflow.
hypotFunction() - Static method in class cern.colt.matrix.tfloat.algo.FloatAlgebra
Returns sqrt(a^2 + b^2) without under/overflow.

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