Serialized Form
serialVersionUID: 1020L
Package cern.colt.buffer.tdouble |
target
DoubleBufferConsumer target
elements
double[] elements
list
DoubleArrayList list
capacity
int capacity
size
int size
target
DoubleBuffer2DConsumer target
xElements
double[] xElements
yElements
double[] yElements
xList
DoubleArrayList xList
yList
DoubleArrayList yList
capacity
int capacity
size
int size
target
DoubleBuffer3DConsumer target
xElements
double[] xElements
yElements
double[] yElements
zElements
double[] zElements
xList
DoubleArrayList xList
yList
DoubleArrayList yList
zList
DoubleArrayList zList
capacity
int capacity
size
int size
Package cern.colt.buffer.tfloat |
target
FloatBufferConsumer target
elements
float[] elements
list
FloatArrayList list
capacity
int capacity
size
int size
target
FloatBuffer2DConsumer target
xElements
float[] xElements
yElements
float[] yElements
xList
FloatArrayList xList
yList
FloatArrayList yList
capacity
int capacity
size
int size
target
FloatBuffer3DConsumer target
xElements
float[] xElements
yElements
float[] yElements
zElements
float[] zElements
xList
FloatArrayList xList
yList
FloatArrayList yList
zList
FloatArrayList zList
capacity
int capacity
size
int size
Package cern.colt.buffer.tint |
target
IntBufferConsumer target
elements
int[] elements
list
IntArrayList list
capacity
int capacity
size
int size
target
IntBuffer2DConsumer target
xElements
int[] xElements
yElements
int[] yElements
xList
IntArrayList xList
yList
IntArrayList yList
capacity
int capacity
size
int size
target
IntBuffer3DConsumer target
xElements
int[] xElements
yElements
int[] yElements
zElements
int[] zElements
xList
IntArrayList xList
yList
IntArrayList yList
zList
IntArrayList zList
capacity
int capacity
size
int size
Package cern.colt.buffer.tobject |
target
ObjectBufferConsumer target
elements
Object[] elements
list
ObjectArrayList list
capacity
int capacity
size
int size
Package cern.colt.list.tboolean |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
boolean[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.list.tbyte |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
byte[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.list.tchar |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
char[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.list.tdouble |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
double[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.list.tfloat |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
float[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.list.tint |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
int[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.list.tlong |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
distinctValues
long[] distinctValues
elements
MinMaxNumberList elements
elements
long[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
minValue
long minValue
bitsPerElement
int bitsPerElement
bits
long[] bits
capacity
int capacity
elements
long[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
size
int size
- The size of the list.
-
Package cern.colt.list.tobject |
elements
Object[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
size
int size
- The size of the list.
-
Package cern.colt.list.tshort |
size
int size
- The size of the list. This is a READ_ONLY variable for all methods but
setSizeRaw(int newSize) !!! If you violate this principle in subclasses,
you should exactly know what you are doing.
-
elements
short[] elements
- The array buffer into which the elements of the list are stored. The
capacity of the list is the length of this array buffer.
-
Package cern.colt.map.tdouble |
distinct
int distinct
- The number of distinct associations in the map; its "size()".
lowWaterMark
int lowWaterMark
- The table capacity c=table.length always satisfies the invariant
c * minLoadFactor <= s <= c * maxLoadFactor, where s=size() is
the number of associations currently contained. The term "c *
minLoadFactor" is called the "lowWaterMark", "c * maxLoadFactor" is
called the "highWaterMark". In other words, the table capacity (and
proportionally the memory used by this class) oscillates within these
constraints. The terms are precomputed and cached to avoid recalculating
them each time put(..) or removeKey(...) is called.
highWaterMark
int highWaterMark
minLoadFactor
double minLoadFactor
- The minimum load factor for the hashtable.
maxLoadFactor
double maxLoadFactor
- The maximum load factor for the hashtable.
table
double[] table
- The hash table keys.
-
values
int[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
table
int[] table
- The hash table keys.
-
values
double[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
table
long[] table
- The hash table keys.
-
values
double[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
Package cern.colt.map.tfloat |
distinct
int distinct
- The number of distinct associations in the map; its "size()".
lowWaterMark
int lowWaterMark
- The table capacity c=table.length always satisfies the invariant
c * minLoadFactor <= s <= c * maxLoadFactor, where s=size() is
the number of associations currently contained. The term "c *
minLoadFactor" is called the "lowWaterMark", "c * maxLoadFactor" is
called the "highWaterMark". In other words, the table capacity (and
proportionally the memory used by this class) oscillates within these
constraints. The terms are precomputed and cached to avoid recalculating
them each time put(..) or removeKey(...) is called.
highWaterMark
int highWaterMark
minLoadFactor
float minLoadFactor
- The minimum load factor for the hashtable.
maxLoadFactor
float maxLoadFactor
- The maximum load factor for the hashtable.
table
float[] table
- The hash table keys.
-
values
int[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
table
int[] table
- The hash table keys.
-
values
float[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
table
long[] table
- The hash table keys.
-
values
float[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
Package cern.colt.map.tint |
table
int[] table
- The hash table keys.
-
values
int[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
totalProbesSaved
int totalProbesSaved
Package cern.colt.map.tobject |
table
int[] table
- The hash table keys.
-
values
Object[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
table
long[] table
- The hash table keys.
-
values
Object[] values
- The hash table values.
-
state
byte[] state
- The state of each hash table entry (FREE, FULL, REMOVED).
-
freeEntries
int freeEntries
- The number of table entries in state==FREE.
-
alignment
String alignment
- The default format string for formatting a single cell value; currently
"%G".
format
String format
- The default format string for formatting a single cell value; currently
"%G".
minColumnWidth
int minColumnWidth
- The default minimum number of characters a column may have; currently
1.
columnSeparator
String columnSeparator
- The default string separating any two columns from another; currently
" ".
rowSeparator
String rowSeparator
- The default string separating any two rows from another; currently
"\n".
sliceSeparator
String sliceSeparator
- The default string separating any two slices from another; currently
"\n\n".
printShape
boolean printShape
- Tells whether String representations are to be preceded with summary of
the shape; currently true.
isNoView
boolean isNoView
size
int size
- the number of cells this matrix (view) has
zero
int zero
- the index of the first element
stride
int stride
- the number of indexes between any two elements, i.e.
index(i+1) - index(i).
columns
int columns
- the number of colums and rows this matrix (view) has
rows
int rows
- the number of colums and rows this matrix (view) has
rowStride
int rowStride
- the number of elements between two rows, i.e.
index(i+1,j,k) - index(i,j,k).
columnStride
int columnStride
- the number of elements between two columns, i.e.
index(i,j+1,k) - index(i,j,k).
rowZero
int rowZero
- the index of the first element
columnZero
int columnZero
- the index of the first element
slices
int slices
- the number of slices this matrix (view) has
rows
int rows
- the number of rows this matrix (view) has
columns
int columns
- the number of columns this matrix (view) has
sliceStride
int sliceStride
- the number of elements between two slices, i.e.
index(k+1,i,j) - index(k,i,j).
rowStride
int rowStride
- the number of elements between two rows, i.e.
index(k,i+1,j) - index(k,i,j).
columnStride
int columnStride
- the number of elements between two columns, i.e.
index(k,i,j+1) - index(k,i,j).
sliceZero
int sliceZero
- the index of the first element
rowZero
int rowZero
- the index of the first element
columnZero
int columnZero
- the index of the first element
Package cern.colt.matrix.tbit |
columns
int columns
rows
int rows
bits
long[] bits
bits
long[] bits
- The bits of this object. The ith bit is stored in bits[i/64] at bit
position i % 64 (where bit position 0 refers to the least significant bit
and 63 refers to the most significant bit).
-
nbits
int nbits
Package cern.colt.matrix.tdcomplex |
serialVersionUID: 438423343000681857L
serialVersionUID: 5196236412176785039L
serialVersionUID: 1879870163732933608L
Package cern.colt.matrix.tdcomplex.impl |
serialVersionUID: 7295427570770814934L
fft
DoubleFFT_1D fft
elements
double[] elements
- The elements of this matrix. Complex data is represented by 2 double
values in sequence, i.e. elements[zero + 2 * k * stride] constitute real
part and elements[zero + 2 * k * stride] constitute imaginary part
(k=0,...,size()-1).
serialVersionUID: 1020177651L
fft2
DoubleFFT_2D fft2
elements
double[] elements
- The elements of this matrix. elements are stored in row major. Complex
data is represented by 2 double values in sequence, i.e. elements[idx]
constitute the real part and elements[idx+1] constitute the imaginary
part, where idx = index(0,0) + row * rowStride + column * columnStride.
serialVersionUID: 3008992680697668332L
fft3
DoubleFFT_3D fft3
elements
double[] elements
- The elements of this matrix. elements are stored in slice major, then row
major, then column major, in order of significance. Complex data is
represented by 2 double values in sequence, i.e. elements[idx] constitute
the real part and elements[idx+1] constitute the imaginary part, where
idx = index(0,0,0) + slice * sliceStride + row * rowStride + column *
columnStride.
serialVersionUID: -7792866167410993582L
elements
ConcurrentHashMap<K,V> elements
serialVersionUID: 4055279694434233679L
elements
ConcurrentHashMap<K,V> elements
dummy
int dummy
serialVersionUID: -3505231436029104977L
elements
ConcurrentHashMap<K,V> elements
Package cern.colt.matrix.tdouble |
Package cern.colt.matrix.tdouble.algo |
serialVersionUID: 7387616224214397704L
property
DoubleProperty property
- The property object attached to this instance.
tolerance
double tolerance
Package cern.colt.matrix.tdouble.algo.decomposition |
serialVersionUID: 1020L
L
DoubleMatrix2D L
- Array for internal storage of decomposition.
- internal array storage.
Lt
DoubleMatrix2D Lt
n
int n
- Row and column dimension (square matrix).
- matrix dimension.
isSymmetricPositiveDefinite
boolean isSymmetricPositiveDefinite
- Symmetric and positive definite flag.
- is symmetric and positive definite flag.
serialVersionUID: 1020L
n
int n
- Row and column dimension (square matrix).
- matrix dimension.
issymmetric
boolean issymmetric
- Symmetry flag.
- internal symmetry flag.
d
double[] d
- Arrays for internal storage of eigenvalues.
- internal storage of eigenvalues.
e
double[] e
- Arrays for internal storage of eigenvalues.
- internal storage of eigenvalues.
V
double[][] V
- Array for internal storage of eigenvectors.
- internal storage of eigenvectors.
H
double[][] H
- Array for internal storage of nonsymmetric Hessenberg form.
- internal storage of nonsymmetric Hessenberg form.
ort
double[] ort
- Working storage for nonsymmetric algorithm.
- working storage for nonsymmetric algorithm.
serialVersionUID: 1020L
quick
DoubleLUDecompositionQuick quick
serialVersionUID: 1020L
LU
DoubleMatrix2D LU
- Array for internal storage of decomposition.
- internal array storage.
pivsign
int pivsign
- pivot sign.
- pivot sign.
piv
int[] piv
- Internal storage of pivot vector.
- pivot vector.
isNonSingular
boolean isNonSingular
algebra
DoubleAlgebra algebra
serialVersionUID: 1020L
QR
DoubleMatrix2D QR
- Array for internal storage of decomposition.
- internal array storage.
m
int m
- Row and column dimensions.
- column dimension.
n
int n
- Row and column dimensions.
- column dimension.
Rdiag
DoubleMatrix1D Rdiag
- Array for internal storage of diagonal of R.
- diagonal of R.
serialVersionUID: 1020L
U
double[][] U
- Arrays for internal storage of U and V.
- internal storage of U.
V
double[][] V
- Arrays for internal storage of U and V.
- internal storage of U.
s
double[] s
- Array for internal storage of singular values.
- internal storage of singular values.
m
int m
- Row and column dimensions.
- row dimension.
n
int n
- Row and column dimensions.
- row dimension.
Package cern.colt.matrix.tdouble.algo.solver |
serialVersionUID: -2305369220010776320L
reason
DoubleNotConvergedException.Reason reason
- The reason for this exception
serialVersionUID: 5354102050137093202L
iterations
int iterations
- Iteration count when this exception was thrown
r
double r
- Final residual
Package cern.colt.matrix.tdouble.impl |
rowIndexes
IntArrayList rowIndexes
values
DoubleArrayList values
columnPointers
int[] columnPointers
elements
SparseDoubleMatrix1D[] elements
serialVersionUID: 1020177651L
fft2
DoubleFFT_2D fft2
dct2
DoubleDCT_2D dct2
dst2
DoubleDST_2D dst2
dht2
DoubleDHT_2D dht2
elements
double[] elements
- The elements of this matrix. elements are stored in column major, i.e.
index==row*columns + column columnOf(index)==index%columns
rowOf(index)==index/columns i.e. {row0 column0..m}, {row1 column0..m},
..., {rown column0..m}
serialVersionUID: -706456704651139684L
fft
DoubleFFT_1D fft
dct
DoubleDCT_1D dct
dst
DoubleDST_1D dst
dht
DoubleDHT_1D dht
elements
double[] elements
- The elements of this matrix.
serialVersionUID: 1020177651L
fft2
DoubleFFT_2D fft2
dct2
DoubleDCT_2D dct2
dst2
DoubleDST_2D dst2
dht2
DoubleDHT_2D dht2
elements
double[] elements
- The elements of this matrix. elements are stored in row major, i.e.
index==row*columns + column columnOf(index)==index%columns
rowOf(index)==index/columns i.e. {row0 column0..m}, {row1 column0..m},
..., {rown column0..m}
serialVersionUID: 5711401505315728697L
fft3
DoubleFFT_3D fft3
dct3
DoubleDCT_3D dct3
dst3
DoubleDST_3D dst3
dht3
DoubleDHT_3D dht3
elements
double[] elements
- The elements of this matrix. elements are stored in slice major, then row
major, then column major, in order of significance, i.e.
index==slice*sliceStride+ row*rowStride + column*columnStride i.e.
{slice0 row0..m}, {slice1 row0..m}, ..., {sliceN row0..m} with each row
storead as {row0 column0..m}, {row1 column0..m}, ..., {rown column0..m}
elements
double[] elements
dlength
int dlength
dindex
int dindex
columnIndexes
IntArrayList columnIndexes
values
DoubleArrayList values
rowPointers
int[] rowPointers
elements
SparseDoubleMatrix1D[] elements
elements
AbstractLongDoubleMap elements
elements
AbstractLongDoubleMap elements
dummy
int dummy
elements
AbstractLongDoubleMap elements
values
double[] values
dims
int[] dims
content
DoubleMatrix1D content
content
DoubleMatrix2D content
Package cern.colt.matrix.tfcomplex |
serialVersionUID: 438423343000681857L
serialVersionUID: 5196236412176785039L
serialVersionUID: 1879870163732933608L
Package cern.colt.matrix.tfcomplex.impl |
serialVersionUID: 7295427570770814934L
fft
FloatFFT_1D fft
elements
float[] elements
- The elements of this matrix. Complex data is represented by 2 float
values in sequence, i.e. elements[zero + 2 * k * stride] constitute real
part and elements[zero + 2 * k * stride] constitute imaginary part
(k=0,...,size()-1).
serialVersionUID: 1020177651L
fft2
FloatFFT_2D fft2
elements
float[] elements
- The elements of this matrix. elements are stored in row major. Complex
data is represented by 2 float values in sequence, i.e. elements[idx]
constitute the real part and elements[idx+1] constitute the imaginary
part, where idx = index(0,0) + row * rowStride + column * columnStride.
serialVersionUID: 3008992680697668332L
fft3
FloatFFT_3D fft3
elements
float[] elements
- The elements of this matrix. elements are stored in slice major, then row
major, then column major, in order of significance. Complex data is
represented by 2 float values in sequence, i.e. elements[idx] constitute
the real part and elements[idx+1] constitute the imaginary part, where
idx = index(0,0,0) + slice * sliceStride + row * rowStride + column *
columnStride.
serialVersionUID: -7792866167410993582L
elements
ConcurrentHashMap<K,V> elements
serialVersionUID: 4055279694434233679L
elements
ConcurrentHashMap<K,V> elements
dummy
int dummy
serialVersionUID: -3505231436029104977L
elements
ConcurrentHashMap<K,V> elements
Package cern.colt.matrix.tfloat |
Package cern.colt.matrix.tfloat.algo |
serialVersionUID: 7387616224214397704L
property
FloatProperty property
- The property object attached to this instance.
tolerance
float tolerance
Package cern.colt.matrix.tfloat.algo.decomposition |
serialVersionUID: 1020L
L
FloatMatrix2D L
- Array for internal storage of decomposition.
- internal array storage.
Lt
FloatMatrix2D Lt
n
int n
- Row and column dimension (square matrix).
- matrix dimension.
isSymmetricPositiveDefinite
boolean isSymmetricPositiveDefinite
- Symmetric and positive definite flag.
- is symmetric and positive definite flag.
serialVersionUID: 1020L
n
int n
- Row and column dimension (square matrix).
- matrix dimension.
issymmetric
boolean issymmetric
- Symmetry flag.
- internal symmetry flag.
d
float[] d
- Arrays for internal storage of eigenvalues.
- internal storage of eigenvalues.
e
float[] e
- Arrays for internal storage of eigenvalues.
- internal storage of eigenvalues.
V
float[][] V
- Array for internal storage of eigenvectors.
- internal storage of eigenvectors.
H
float[][] H
- Array for internal storage of nonsymmetric Hessenberg form.
- internal storage of nonsymmetric Hessenberg form.
ort
float[] ort
- Working storage for nonsymmetric algorithm.
- working storage for nonsymmetric algorithm.
serialVersionUID: 1020L
quick
FloatLUDecompositionQuick quick
serialVersionUID: 1020L
LU
FloatMatrix2D LU
- Array for internal storage of decomposition.
- internal array storage.
pivsign
int pivsign
- pivot sign.
- pivot sign.
piv
int[] piv
- Internal storage of pivot vector.
- pivot vector.
isNonSingular
boolean isNonSingular
algebra
FloatAlgebra algebra
serialVersionUID: 1020L
QR
FloatMatrix2D QR
- Array for internal storage of decomposition.
- internal array storage.
m
int m
- Row and column dimensions.
- column dimension.
n
int n
- Row and column dimensions.
- column dimension.
Rdiag
FloatMatrix1D Rdiag
- Array for internal storage of diagonal of R.
- diagonal of R.
serialVersionUID: 1020L
U
float[][] U
- Arrays for internal storage of U and V.
- internal storage of U.
V
float[][] V
- Arrays for internal storage of U and V.
- internal storage of U.
s
float[] s
- Array for internal storage of singular values.
- internal storage of singular values.
m
int m
- Row and column dimensions.
- row dimension.
n
int n
- Row and column dimensions.
- row dimension.
Package cern.colt.matrix.tfloat.algo.solver |
serialVersionUID: -2305369220010776320L
reason
FloatNotConvergedException.Reason reason
- The reason for this exception
serialVersionUID: 5354102050137093202L
iterations
int iterations
- Iteration count when this exception was thrown
r
float r
- Final residual
Package cern.colt.matrix.tfloat.impl |
rowIndexes
IntArrayList rowIndexes
values
FloatArrayList values
columnPointers
int[] columnPointers
elements
SparseFloatMatrix1D[] elements
serialVersionUID: 1020177651L
fft2
FloatFFT_2D fft2
dct2
FloatDCT_2D dct2
dst2
FloatDST_2D dst2
dht2
FloatDHT_2D dht2
elements
float[] elements
- The elements of this matrix. elements are stored in column major, i.e.
index==row*columns + column columnOf(index)==index%columns
rowOf(index)==index/columns i.e. {row0 column0..m}, {row1 column0..m},
..., {rown column0..m}
serialVersionUID: -706456704651139684L
fft
FloatFFT_1D fft
dct
FloatDCT_1D dct
dst
FloatDST_1D dst
dht
FloatDHT_1D dht
elements
float[] elements
- The elements of this matrix.
serialVersionUID: 1020177651L
fft2
FloatFFT_2D fft2
dct2
FloatDCT_2D dct2
dst2
FloatDST_2D dst2
dht2
FloatDHT_2D dht2
elements
float[] elements
- The elements of this matrix. elements are stored in row major, i.e.
index==row*columns + column columnOf(index)==index%columns
rowOf(index)==index/columns i.e. {row0 column0..m}, {row1 column0..m},
..., {rown column0..m}
serialVersionUID: 5711401505315728697L
fft3
FloatFFT_3D fft3
dct3
FloatDCT_3D dct3
dst3
FloatDST_3D dst3
dht3
FloatDHT_3D dht3
elements
float[] elements
- The elements of this matrix. elements are stored in slice major, then row
major, then column major, in order of significance, i.e.
index==slice*sliceStride+ row*rowStride + column*columnStride i.e.
{slice0 row0..m}, {slice1 row0..m}, ..., {sliceN row0..m} with each row
storead as {row0 column0..m}, {row1 column0..m}, ..., {rown column0..m}
elements
float[] elements
dlength
int dlength
dindex
int dindex
columnIndexes
IntArrayList columnIndexes
values
FloatArrayList values
rowPointers
int[] rowPointers
elements
SparseFloatMatrix1D[] elements
elements
AbstractLongFloatMap elements
elements
AbstractLongFloatMap elements
dummy
int dummy
elements
AbstractLongFloatMap elements
content
FloatMatrix1D content
content
FloatMatrix2D content
Package cern.colt.matrix.tint |
Package cern.colt.matrix.tint.algo |
Package cern.colt.matrix.tint.impl |
serialVersionUID: -706456704651139684L
elements
int[] elements
- The elements of this matrix.
serialVersionUID: 1020177651L
elements
int[] elements
- The elements of this matrix. elements are stored in row major, i.e.
index==row*columns + column columnOf(index)==index%columns
rowOf(index)==index/columns i.e. {row0 column0..m}, {row1 column0..m},
..., {rown column0..m}
serialVersionUID: 5711401505315728697L
elements
int[] elements
- The elements of this matrix. elements are stored in slice major, then row
major, then column major, in order of significance, i.e.
index==slice*sliceStride+ row*rowStride + column*columnStride i.e.
{slice0 row0..m}, {slice1 row0..m}, ..., {sliceN row0..m} with each row
storead as {row0 column0..m}, {row1 column0..m}, ..., {rown column0..m}
columnIndexes
IntArrayList columnIndexes
values
IntArrayList values
rowPointers
int[] rowPointers
elements
AbstractIntIntMap elements
elements
AbstractIntIntMap elements
dummy
int dummy
elements
AbstractIntIntMap elements
content
IntMatrix1D content
content
IntMatrix2D content
Package cern.colt.matrix.tobject |
Package cern.colt.matrix.tobject.algo |
Package cern.colt.matrix.tobject.impl |
elements
Object[] elements
- The elements of this matrix.
elements
Object[] elements
- The elements of this matrix. elements are stored in row major, i.e.
index==row*columns + column columnOf(index)==index%columns
rowOf(index)==index/columns i.e. {row0 column0..m}, {row1 column0..m},
..., {rown column0..m}
elements
Object[] elements
- The elements of this matrix. elements are stored in slice major, then row
major, then column major, in order of significance, i.e.
index==slice*sliceStride+ row*rowStride + column*columnStride i.e.
{slice0 row0..m}, {slice1 row0..m}, ..., {sliceN row0..m} with each row
storead as {row0 column0..m}, {row1 column0..m}, ..., {rown column0..m}
elements
AbstractIntObjectMap elements
elements
AbstractIntObjectMap elements
elements
AbstractIntObjectMap elements
Package cern.jet.random.tdouble |
randomGenerator
DoubleRandomEngine randomGenerator
alpha
double alpha
beta
double beta
PDF_CONST
double PDF_CONST
a_last
double a_last
b_last
double b_last
a_
double a_
b_
double b_
t
double t
fa
double fa
fb
double fb
p1
double p1
p2
double p2
c
double c
ml
double ml
mu
double mu
p_last
double p_last
q_last
double q_last
a
double a
b
double b
s
double s
m
double m
D
double D
Dl
double Dl
x1
double x1
x2
double x2
x4
double x4
x5
double x5
f1
double f1
f2
double f2
f4
double f4
f5
double f5
ll
double ll
lr
double lr
z2
double z2
z4
double z4
p3
double p3
p4
double p4
n
int n
p
double p
n_last
int n_last
n_prev
int n_prev
par
double par
np
double np
p0
double p0
q
double q
p_last
double p_last
p_prev
double p_prev
b
int b
m
int m
nm
int nm
pq
double pq
rc
double rc
ss
double ss
xm
double xm
xl
double xl
xr
double xr
ll
double ll
lr
double lr
c
double c
p1
double p1
p2
double p2
p3
double p3
p4
double p4
ch
double ch
log_p
double log_p
log_q
double log_q
log_n
double log_n
mean
double mean
gamma
double gamma
cut
double cut
uniform
DoubleUniform uniform
freedom
double freedom
freedom_in
double freedom_in
b
double b
vm
double vm
vp
double vp
vd
double vd
min
double min
max
double max
cdf
double[] cdf
interpolationType
int interpolationType
K
int K
A
int[] A
F
double[] F
cdf
double[] cdf
lambda
double lambda
tau
double tau
s
double s
sm1
double sm1
tau_set
double tau_set
alpha
double alpha
lambda
double lambda
alpha
double alpha
beta
double beta
a_setup
double a_setup
b_setup
double b_setup
x
double x
u
double u
v
double v
e
double e
hr
double hr
hl
double hl
s
double s
pm
double pm
pr
double pr
samb
double samb
pmr
double pmr
mpa_1
double mpa_1
mmb_1
double mmb_1
my_N
int my_N
my_s
int my_s
my_n
int my_n
N_last
int N_last
M_last
int M_last
n_last
int n_last
N_Mn
int N_Mn
m
int m
mp
int mp
b
int b
Mp
double Mp
np
double np
fm
double fm
k2
int k2
k4
int k4
k1
int k1
k5
int k5
dl
double dl
dr
double dr
r1
double r1
r2
double r2
r4
double r4
r5
double r5
ll
double ll
lr
double lr
c_pm
double c_pm
f1
double f1
f2
double f2
f4
double f4
f5
double f5
p1
double p1
p2
double p2
p3
double p3
p4
double p4
p5
double p5
p6
double p6
my_p
double my_p
t
double t
h
double h
a_prev
double a_prev
n
int n
p
double p
gamma
Gamma gamma
poisson
Poisson poisson
mean
double mean
variance
double variance
standardDeviation
double standardDeviation
cache
double cache
cacheFilled
boolean cacheFilled
SQRT_INV
double SQRT_INV
mean
double mean
my_old
double my_old
p
double p
q
double q
p0
double p0
pp
double[] pp
llll
int llll
my_last
double my_last
ll
double ll
k2
int k2
k4
int k4
k1
int k1
k5
int k5
dl
double dl
dr
double dr
r1
double r1
r2
double r2
r4
double r4
r5
double r5
lr
double lr
l_my
double l_my
c_pm
double c_pm
f1
double f1
f2
double f2
f4
double f4
f5
double f5
p1
double p1
p2
double p2
p3
double p3
p4
double p4
p5
double p5
p6
double p6
m
int m
mean
double mean
cached_sq
double cached_sq
cached_alxm
double cached_alxm
cached_g
double cached_g
freedom
double freedom
TERM
double TERM
my_k
double my_k
k_set
double k_set
tau
double tau
rho
double rho
r
double r
ro
double ro
pk
double pk
c
double c
d
double d
ro_prev
double ro_prev
pk_prev
double pk_prev
maxlongint
double maxlongint
Package cern.jet.random.tdouble.engine |
mti
int mti
mt
int[] mt
current
int current
row
int row
column
int column
Package cern.jet.random.tdouble.sampling |
my_n
long my_n
my_N
long my_N
my_low
long my_low
my_RandomGenerator
DoubleRandomEngine my_RandomGenerator
sampler
DoubleRandomSampler sampler
buffer
long[] buffer
bufferPosition
int bufferPosition
skip
long skip
n
long n
skip
int skip
nextTriggerPos
int nextTriggerPos
nextSkip
int nextSkip
weight
int weight
generator
DoubleUniform generator
Package cern.jet.random.tfloat |
randomGenerator
FloatRandomEngine randomGenerator
min
float min
max
float max
Package cern.jet.random.tfloat.engine |
mti
int mti
mt
int[] mt
current
int current
Package cern.jet.random.tfloat.sampling |
my_n
long my_n
my_N
long my_N
my_low
long my_low
my_RandomGenerator
FloatRandomEngine my_RandomGenerator
sampler
FloatRandomSampler sampler
buffer
long[] buffer
bufferPosition
int bufferPosition
skip
long skip
n
long n
skip
int skip
nextTriggerPos
int nextTriggerPos
nextSkip
int nextSkip
weight
int weight
generator
FloatUniform generator
weight
int weight
level
int level
k
int k
isAllocated
boolean isAllocated
Package cern.jet.stat.tdouble.quantile |
values
DoubleArrayList values
isSorted
boolean isSorted
binBoundaries
double[] binBoundaries
buffer
DoubleArrayList buffer
isSorted
boolean isSorted
Package cern.jet.stat.tfloat.quantile |
binBoundaries
float[] binBoundaries
Package hep.aida.tdouble.bin |
elements
DoubleArrayList elements
- The elements contained in this bin.
sortedElements
DoubleArrayList sortedElements
- The elements contained in this bin, sorted ascending.
fixedOrder
boolean fixedOrder
- Preserve element order under all circumstances?
isSorted
boolean isSorted
isIncrementalStatValid
boolean isIncrementalStatValid
isSumOfInversionsValid
boolean isSumOfInversionsValid
isSumOfLogarithmsValid
boolean isSumOfLogarithmsValid
hasSumOfLogarithms
boolean hasSumOfLogarithms
sumOfLogarithms
double sumOfLogarithms
hasSumOfInversions
boolean hasSumOfInversions
sumOfInversions
double sumOfInversions
sumOfPowers
double[] sumOfPowers
finder
DoubleQuantileFinder finder
size
int size
- The number of elements consumed by incremental parameter maintainance.
min
double min
max
double max
sum
double sum
sum_xx
double sum_xx
Package hep.aida.tdouble.ref |
bins
int bins
min
double min
binWidth
double binWidth
xunder
int xunder
xover
int xover
errors
double[] errors
heights
double[] heights
entries
int[] entries
nEntry
int nEntry
sumWeight
double sumWeight
sumWeightSquared
double sumWeightSquared
mean
double mean
rms
double rms
heights
double[][] heights
errors
double[][] errors
entries
int[][] entries
nEntry
int nEntry
sumWeight
double sumWeight
sumWeightSquared
double sumWeightSquared
meanX
double meanX
rmsX
double rmsX
meanY
double meanY
rmsY
double rmsY
heights
double[][][] heights
errors
double[][][] errors
entries
int[][][] entries
nEntry
int nEntry
sumWeight
double sumWeight
sumWeightSquared
double sumWeightSquared
meanX
double meanX
rmsX
double rmsX
meanY
double meanY
rmsY
double rmsY
meanZ
double meanZ
rmsZ
double rmsZ
min
double min
bins
int bins
edges
double[] edges
Package hep.aida.tfloat.bin |
elements
FloatArrayList elements
- The elements contained in this bin.
sortedElements
FloatArrayList sortedElements
- The elements contained in this bin, sorted ascending.
fixedOrder
boolean fixedOrder
- Preserve element order under all circumstances?
isSorted
boolean isSorted
isIncrementalStatValid
boolean isIncrementalStatValid
isSumOfInversionsValid
boolean isSumOfInversionsValid
isSumOfLogarithmsValid
boolean isSumOfLogarithmsValid
hasSumOfLogarithms
boolean hasSumOfLogarithms
sumOfLogarithms
float sumOfLogarithms
hasSumOfInversions
boolean hasSumOfInversions
sumOfInversions
float sumOfInversions
sumOfPowers
float[] sumOfPowers
finder
FloatQuantileFinder finder
size
int size
- The number of elements consumed by incremental parameter maintainance.
min
float min
max
float max
sum
float sum
sum_xx
float sum_xx
Package hep.aida.tfloat.ref |
bins
int bins
min
float min
binWidth
float binWidth
xunder
int xunder
xover
int xover
errors
float[] errors
heights
float[] heights
entries
int[] entries
nEntry
int nEntry
sumWeight
float sumWeight
sumWeightSquared
float sumWeightSquared
mean
float mean
rms
float rms
heights
float[][] heights
errors
float[][] errors
entries
int[][] entries
nEntry
int nEntry
sumWeight
float sumWeight
sumWeightSquared
float sumWeightSquared
meanX
float meanX
rmsX
float rmsX
meanY
float meanY
rmsY
float rmsY
heights
float[][][] heights
errors
float[][][] errors
entries
int[][][] entries
nEntry
int nEntry
sumWeight
float sumWeight
sumWeightSquared
float sumWeightSquared
meanX
float meanX
rmsX
float rmsX
meanY
float meanY
rmsY
float rmsY
meanZ
float meanZ
rmsZ
float rmsZ
min
float min
bins
int bins
edges
float[] edges
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