Serialized Form
serialVersionUID: 1020L
baseTime
long baseTime
elapsedTime
long elapsedTime
Package cern.colt.bitvector |
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
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
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
target
ObjectBufferConsumer target
elements
java.lang.Object[] elements
list
ObjectArrayList list
capacity
int capacity
size
int size
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
distinctValues
long[] distinctValues
elements
MinMaxNumberList elements
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.
-
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.
-
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.
-
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
java.lang.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.
-
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.
-
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.
-
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
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.
-
table
int[] table
- The hash table keys.
-
values
java.lang.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
java.lang.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.
-
Package cern.colt.matrix.doublealgo |
Package cern.colt.matrix.impl |
alignment
java.lang.String alignment
- The default format string for formatting a single cell value; currently "%G".
format
java.lang.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
java.lang.String columnSeparator
- The default string separating any two columns from another; currently " ".
rowSeparator
java.lang.String rowSeparator
- The default string separating any two rows from another; currently "\n".
sliceSeparator
java.lang.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
elements
double[] elements
- The elements of this matrix.
serialVersionUID: 1020177651L
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}
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
java.lang.Object[] elements
- The elements of this matrix.
elements
java.lang.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
java.lang.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}
indexes
IntArrayList indexes
values
DoubleArrayList values
starts
int[] starts
elements
AbstractIntDoubleMap elements
elements
AbstractIntDoubleMap elements
dummy
int dummy
elements
AbstractIntDoubleMap elements
elements
AbstractIntObjectMap elements
elements
AbstractIntObjectMap elements
elements
AbstractIntObjectMap elements
Package cern.colt.matrix.linalg |
property
Property property
- The property object attached to this instance.
serialVersionUID: 1020L
L
DoubleMatrix2D L
- Array for internal storage of decomposition.
- internal array storage.
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
LUDecompositionQuick 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
Algebra algebra
tolerance
double tolerance
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.objectalgo |
Package cern.hep.aida.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 cern.hep.aida.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
randomGenerator
RandomEngine randomGenerator
randomGenerator
RandomEngine 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
Uniform uniform
freedom
double freedom
freedom_in
double freedom_in
b
double b
vm
double vm
vp
double vp
vd
double vd
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
min
double min
max
double max
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.engine |
current
int current
mti
int mti
mt
int[] mt
row
int row
column
int column
Package cern.jet.random.sampling |
my_n
long my_n
my_N
long my_N
my_low
long my_low
my_RandomGenerator
RandomEngine my_RandomGenerator
sampler
RandomSampler 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
Uniform generator
Package cern.jet.stat.quantile |
binBoundaries
float[] binBoundaries
complexData
flanagan.complex.Complex[] complexData
complexCorr
flanagan.complex.Complex[] complexCorr
complexDataSet
boolean complexDataSet
originalDataLength
int originalDataLength
fftDataLength
int fftDataLength
dataAltered
boolean dataAltered
fftData
double[] fftData
fftCorr
double[] fftCorr
fftResp
double[] fftResp
fftDataSet
boolean fftDataSet
fftDataWindow
double[] fftDataWindow
fftCorrWindow
double[] fftCorrWindow
windowOption
int windowOption
windowNames
java.lang.String[] windowNames
windowName
java.lang.String windowName
kaiserAlpha
double kaiserAlpha
gaussianAlpha
double gaussianAlpha
weights
double[] weights
windowSet
boolean windowSet
windowApplied
boolean windowApplied
sumOfSquaredWeights
double sumOfSquaredWeights
transformedDataComplex
flanagan.complex.Complex[] transformedDataComplex
transformedDataFft
double[] transformedDataFft
fftDone
boolean fftDone
powerSpectrumEstimate
double[][] powerSpectrumEstimate
powSpecDone
boolean powSpecDone
psdNumberOfPoints
int psdNumberOfPoints
segmentNumber
int segmentNumber
segmentLength
int segmentLength
overlap
boolean overlap
segNumSet
boolean segNumSet
segLenSet
boolean segLenSet
deltaT
double deltaT
deltaTset
boolean deltaTset
correlationArray
double[][] correlationArray
correlateDone
boolean correlateDone
numberOfWarnings
int numberOfWarnings
warning
boolean[] warning
plotLineOption
int plotLineOption
plotPointOption
int plotPointOption
timeFrequency
double[][] timeFrequency
shortTimeDone
boolean shortTimeDone
numShortFreq
int numShortFreq
numShortTimes
int numShortTimes
shortTitle
java.lang.String shortTitle
Package hep.aida.ref.event |
connected
boolean connected
id
int id
path
java.lang.String[] path
type
java.lang.Class<T> type
flags
int flags
linkPath
java.lang.String[] linkPath
Package hep.aida.ref.function |
hash
java.util.TreeMap<K,V> hash
userHash
java.util.TreeMap<K,V> userHash
creator
FunctionCreator creator
Package hep.aida.ref.histogram |
Package hep.aida.ref.tree |
Package hep.aida.ref.tuple |
first
int first
last
int last
serialVersionUID: 1L
selection
java.awt.Rectangle selection
sname
java.lang.String sname
f
java.awt.Font f
c
java.awt.Color c
fm
java.awt.FontMetrics fm
textWidth
int textWidth
textHeight
int textHeight
recColor
java.awt.Color recColor
recColor1
java.awt.Color recColor1
bakColor
java.awt.Color bakColor
borderColor
java.awt.Color borderColor
win
GHPanel win
rotation
int rotation
sinfo
java.lang.String sinfo
dXsize
int dXsize
dYsize
int dYsize
menu
javax.swing.JPopupMenu menu
scml
jhplot.GHMargin.SelectionChangeMouseListener scml
iedit
javax.swing.JMenuItem iedit
icolor
javax.swing.JMenuItem icolor
imargin1
javax.swing.JMenuItem imargin1
imargin2
javax.swing.JMenuItem imargin2
imargin3
javax.swing.JMenuItem imargin3
idefault
javax.swing.JMenuItem idefault
Class jhplot.HTable extends javax.swing.JFrame implements Serializable |
serialVersionUID: 1L
table
com.vlsolutions.swing.table.VLJTable table
closeButton
javax.swing.JButton closeButton
filter
javax.swing.JButton filter
control
javax.swing.JPanel control
serialVersionUID: 1L
plot
jas.hist.JASHist plot
tree
javax.swing.JTree tree
frame
javax.swing.JFrame frame
thread
java.lang.Thread thread
threadSuspended
boolean threadSuspended
md
Model3d md
backBuffer
java.awt.Image backBuffer
backGC
java.awt.Graphics backGC
delay
int delay
painted
boolean painted
serialVersionUID: 1L
md
Model3d md
backBuffer
java.awt.Image backBuffer
backGC
java.awt.Graphics backGC
prefSize
java.awt.Dimension prefSize
minSize
java.awt.Dimension minSize
painted
boolean painted
c
java.awt.Color c
scml
jhplot.v3d.Canvas3d.SelectionChangeMouseListener scml
menu
javax.swing.JPopupMenu menu
orot
jhplot.v3d.Matrix3d orot
otrans
jhplot.v3d.Matrix3d otrans
oscale
jhplot.v3d.Matrix3d oscale
ominScale
float ominScale
omaxScale
float omaxScale
serialVersionUID: 1L
tabbedPane
javax.swing.JTabbedPane tabbedPane
closeButton
javax.swing.JButton closeButton
win
Canvas3d win
md
Model3d md
jb1
javax.swing.JButton jb1
jb2
javax.swing.JButton jb2
jb3
javax.swing.JButton jb3
jb4
javax.swing.JButton jb4
jb5
javax.swing.JButton jb5
jb6
javax.swing.JButton jb6
jb7
javax.swing.JButton jb7
jb8
javax.swing.JButton jb8
jb9
javax.swing.JButton jb9
jb10
javax.swing.JButton jb10
Package org.apache.commons.math |
serialVersionUID: -3657394299929217890L
serialVersionUID: -317289374378977972L
argument
double argument
- Argument causing function evaluation failure
serialVersionUID: -7958299004965931723L
serialVersionUID: -8594613561393443827L
rootCause
java.lang.Throwable rootCause
- Root cause of the exception
Package org.apache.commons.math.analysis |
serialVersionUID: 7137520585963699578L
serialVersionUID: 3350616277306882875L
serialVersionUID: 2606474895443431607L
readObject
private void readObject(java.io.ObjectInputStream in)
throws java.io.IOException,
java.lang.ClassNotFoundException
- Custom deserialization to initialize transient deriviate field.
- Throws:
java.io.IOException
- if IO error occurs
java.lang.ClassNotFoundException
- if instantiation error occurs
serialVersionUID: 3322454535052136809L
coefficients
double[] coefficients
- The coefficients of the polynomial, ordered by degree -- i.e.,
coefficients[0] is the constant term and coefficients[n] is the
coefficient of x^n where n is the degree of the polynomial.
serialVersionUID: 7011031166416885789L
knots
double[] knots
- Spline segment interval delimiters (knots). Size is n+1 for n segments.
polynomials
PolynomialFunction[] polynomials
- The polynomial functions that make up the spline. The first element
determines the value of the spline over the first subinterval, the
second over the second, etc. Spline function values are determined by
evaluating these functions at
(x - knot[i])
where i is the
knot segment to which x belongs.
n
int n
- Number of spline segments = number of polynomials
= number of partition points - 1
serialVersionUID: 1984971194738974867L
serialVersionUID: 1112491292565386596L
absoluteAccuracy
double absoluteAccuracy
- Maximum absolute error.
relativeAccuracy
double relativeAccuracy
- Maximum relative error.
functionValueAccuracy
double functionValueAccuracy
- Maximum error of function.
maximalIterationCount
int maximalIterationCount
- Maximum number of iterations.
defaultAbsoluteAccuracy
double defaultAbsoluteAccuracy
- Default maximum absolute error.
defaultRelativeAccuracy
double defaultRelativeAccuracy
- Default maximum relative error.
defaultFunctionValueAccuracy
double defaultFunctionValueAccuracy
- Default maximum error of function.
defaultMaximalIterationCount
int defaultMaximalIterationCount
- Default maximum number of iterations.
resultComputed
boolean resultComputed
- Indicates where a root has been computed.
result
double result
- The last computed root.
iterationCount
int iterationCount
- The last iteration count.
f
UnivariateRealFunction f
- The function to solve.
Package org.apache.commons.math.complex |
serialVersionUID: -6530173849413811929L
imaginary
double imaginary
- The imaginary part
real
double real
- The real part
serialVersionUID: -6337346779577272306L
imaginaryCharacter
java.lang.String imaginaryCharacter
- The notation used to signify the imaginary part of the complex number.
imaginaryFormat
java.text.NumberFormat imaginaryFormat
- The format used for the imaginary part.
realFormat
java.text.NumberFormat realFormat
- The format used for the real part.
Package org.apache.commons.math.distribution |
serialVersionUID: -38038050983108802L
serialVersionUID: -38038050983108802L
serialVersionUID: -1146319659338487221L
serialVersionUID: 6751309484392813623L
numberOfTrials
int numberOfTrials
- The number of trials.
probabilityOfSuccess
double probabilityOfSuccess
- The probability of success.
serialVersionUID: 8589540077390120676L
median
double median
- The median of this distribution.
scale
double scale
- The scale of this distribution.
serialVersionUID: -8352658048349159782L
gamma
GammaDistribution gamma
- Internal Gamma distribution.
serialVersionUID: 2401296428283614780L
mean
double mean
- The mean of this distribution.
serialVersionUID: -8516354193418641566L
numeratorDegreesOfFreedom
double numeratorDegreesOfFreedom
- The numerator degrees of freedom
denominatorDegreesOfFreedom
double denominatorDegreesOfFreedom
- The numerator degrees of freedom
serialVersionUID: -3239549463135430361L
alpha
double alpha
- The shape parameter.
beta
double beta
- The scale parameter.
serialVersionUID: -436928820673516179L
numberOfSuccesses
int numberOfSuccesses
- The number of successes in the population.
populationSize
int populationSize
- The population size.
sampleSize
int sampleSize
- The sample size.
serialVersionUID: 8589540077390120676L
mean
double mean
- The mean of this distribution.
standardDeviation
double standardDeviation
- The standard deviation of this distribution.
serialVersionUID: -3349935121172596109L
mean
double mean
- Holds the Poisson mean for the distribution.
serialVersionUID: -5852615386664158222L
degreesOfFreedom
double degreesOfFreedom
- The degrees of freedom
serialVersionUID: 8589540077390120676L
alpha
double alpha
- The shape parameter.
beta
double beta
- The scale parameter.
Package org.apache.commons.math.fraction |
serialVersionUID: 65382027393090L
denominator
int denominator
- The denominator.
numerator
int numerator
- The numerator.
serialVersionUID: -6337346779577272306L
denominatorFormat
java.text.NumberFormat denominatorFormat
- The format used for the denominator.
numeratorFormat
java.text.NumberFormat numeratorFormat
- The format used for the numerator.
serialVersionUID: -6337346779577272307L
wholeFormat
java.text.NumberFormat wholeFormat
- The format used for the whole number.
Package org.apache.commons.math.linear |
serialVersionUID: -1011428905656140431L
data
java.math.BigDecimal[][] data
- Entries of the matrix
lu
java.math.BigDecimal[][] lu
- Entries of cached LU decomposition.
All updates to data (other than luDecompose()) *must* set this to null
permutation
int[] permutation
- Permutation associated with LU decompostion
parity
int parity
- Parity of the permutation associated with the LU decomposition
roundingMode
int roundingMode
- Rounding mode for divisions
scale
int scale
- BigDecimal scale
serialVersionUID: 5318837237354354107L
serialVersionUID: -1341109412864309526L
serialVersionUID: 4237564493130426188L
data
double[][] data
- Entries of the matrix
lu
double[][] lu
- Entries of cached LU decomposition.
All updates to data (other than luDecompose()) *must* set this to null
permutation
int[] permutation
- Permutation associated with LU decompostion
parity
int parity
- Parity of the permutation associated with the LU decomposition
Package org.apache.commons.math.random |
serialVersionUID: -6773236347582113490L
binStats
java.util.ArrayList<E> binStats
- List of SummaryStatistics objects characterizing the bins
sampleStats
SummaryStatistics sampleStats
- Sample statistics
binCount
int binCount
- number of bins
loaded
boolean loaded
- is the distribution loaded?
upperBounds
double[] upperBounds
- upper bounds of subintervals in (0,1) "belonging" to the bins
randomData
RandomData randomData
- RandomData instance to use in repeated calls to getNext()
randomGenerator
RandomGenerator randomGenerator
- Wrapped randomGenerator instance
serialVersionUID: -626730818244969716L
rand
RandomGenerator rand
- underlying random number generator
secRand
java.security.SecureRandom secRand
- underlying secure random number generator
Package org.apache.commons.math.special |
Package org.apache.commons.math.stat |
serialVersionUID: -3845586908418844111L
freqTable
java.util.TreeMap<K,V> freqTable
- underlying collection
Package org.apache.commons.math.stat.descriptive |
serialVersionUID: -44915725420072521L
serialVersionUID: -8007759382851708045L
serialVersionUID: 5188298269533339922L
serialVersionUID: -1868088725461221010L
windowSize
int windowSize
- hold the window size
eDA
ResizableDoubleArray eDA
- Stored data values
serialVersionUID: -5108854841843722536L
mean
double mean
- The sample mean
variance
double variance
- The sample variance
n
long n
- The number of observations in the sample
max
double max
- The maximum value
min
double min
- The minimum value
sum
double sum
- The sum of the sample values
serialVersionUID: -6400596334135654825L
serialVersionUID: 8787174276883311692L
n
long n
- count of values that have been added
secondMoment
SecondMoment secondMoment
- SecondMoment is used to compute the mean and variance
sum
Sum sum
- sum of values that have been added
sumsq
SumOfSquares sumsq
- sum of the square of each value that has been added
min
Min min
- min of values that have been added
max
Max max
- max of values that have been added
sumLog
SumOfLogs sumLog
- sumLog of values that have been added
geoMean
GeometricMean geoMean
- geoMean of values that have been added
mean
Mean mean
- mean of values that have been added
variance
Variance variance
- variance of values that have been added
Package org.apache.commons.math.stat.descriptive.moment |
serialVersionUID: -803343206421984070L
n
long n
- Count of values that have been added
m1
double m1
- First moment of values that have been added
dev
double dev
- Deviation of most recently added value from previous first moment.
Retained to prevent repeated computation in higher order moments.
nDev
double nDev
- Deviation of most recently added value from previous first moment,
normalized by previous sample size. Retained to prevent repeated
computation in higher order moments
serialVersionUID: 4763990447117157611L
m4
double m4
- fourth moment of values that have been added
serialVersionUID: -8178734905303459453L
sumOfLogs
SumOfLogs sumOfLogs
- Wrapped SumOfLogs instance
serialVersionUID: 2784465764798260919L
moment
FourthMoment moment
- Fourth Moment on which this statistic is based
incMoment
boolean incMoment
- Determines whether or not this statistic can be incremented or cleared.
Statistics based on (constructed from) external moments cannot
be incremented or cleared.
serialVersionUID: -1296043746617791564L
moment
FirstMoment moment
- First moment on which this statistic is based.
incMoment
boolean incMoment
- Determines whether or not this statistic can be incremented or cleared.
Statistics based on (constructed from) external moments cannot
be incremented or cleared.
serialVersionUID: 3942403127395076445L
m2
double m2
- second moment of values that have been added
serialVersionUID: 7101857578996691352L
moment
ThirdMoment moment
- Third moment on which this statistic is based
incMoment
boolean incMoment
- Determines whether or not this statistic can be incremented or cleared.
Statistics based on (constructed from) external moments cannot
be incremented or cleared.
serialVersionUID: 5728716329662425188L
variance
Variance variance
- Wrapped Variance instance
serialVersionUID: -7818711964045118679L
m3
double m3
- third moment of values that have been added
nDevSq
double nDevSq
- Square of deviation of most recently added value from previous first
moment, normalized by previous sample size. Retained to prevent
repeated computation in higher order moments. nDevSq = nDev * nDev.
serialVersionUID: -9111962718267217978L
moment
SecondMoment moment
- SecondMoment is used in incremental calculation of Variance
incMoment
boolean incMoment
- Boolean test to determine if this Variance should also increment
the second moment, this evaluates to false when this Variance is
constructed with an external SecondMoment as a parameter.
isBiasCorrected
boolean isBiasCorrected
- Determines whether or not bias correction is applied when computing the
value of the statisic. True means that bias is corrected. See
Variance
for details on the formula.
Package org.apache.commons.math.stat.descriptive.rank |
serialVersionUID: -5593383832225844641L
n
long n
- Number of values that have been added
value
double value
- Current value of the statistic
serialVersionUID: -3961477041290915687L
serialVersionUID: -2941995784909003131L
n
long n
- Number of values that have been added
value
double value
- Current value of the statistic
serialVersionUID: -8091216485095130416L
quantile
double quantile
- Determines what percentile is computed when evaluate() is activated
with no quantile argument
Package org.apache.commons.math.stat.descriptive.summary |
serialVersionUID: 2824226005990582538L
n
long n
- The number of values that have been added
value
double value
- The current Running Product.
serialVersionUID: -8231831954703408316L
n
long n
value
double value
- The currently running sum.
serialVersionUID: -370076995648386763L
n
int n
- Number of values that have been added
value
double value
- The currently running value
serialVersionUID: 1460986908574398008L
n
long n
value
double value
- The currently running sumSq
Package org.apache.commons.math.stat.regression |
serialVersionUID: -3004689053607543335L
sumX
double sumX
- sum of x values
sumXX
double sumXX
- total variation in x (sum of squared deviations from xbar)
sumY
double sumY
- sum of y values
sumYY
double sumYY
- total variation in y (sum of squared deviations from ybar)
sumXY
double sumXY
- sum of products
n
long n
- number of observations
xbar
double xbar
- mean of accumulated x values, used in updating formulas
ybar
double ybar
- mean of accumulated y values, used in updating formulas
Package org.apache.commons.math.util |
serialVersionUID: 1768555336266158242L
serialVersionUID: 4019938025047800455L
serialVersionUID: -3485529955529426875L
contractionCriteria
float contractionCriteria
- The contraction criteria determines when the internal array will be
contracted to fit the number of elements contained in the element
array + 1.
expansionFactor
float expansionFactor
- The expansion factor of the array. When the array needs to be expanded,
the new array size will be
internalArray.length * expansionFactor
if expansionMode
is set to MULTIPLICATIVE_MODE, or
internalArray.length + expansionFactor
if
expansionMode
is set to ADDITIVE_MODE.
expansionMode
int expansionMode
- Determines whether array expansion by
expansionFactor
is additive or multiplicative.
initialCapacity
int initialCapacity
- The initial capacity of the array. Initial capacity is not exposed as a
property as it is only meaningful when passed to a constructor.
internalArray
double[] internalArray
- The internal storage array.
numElements
int numElements
- The number of addressable elements in the array. Note that this
has nothing to do with the length of the internal storage array.
startIndex
int startIndex
- The position of the first addressable element in the internal storage
array. The addressable elements in the array are
internalArray[startIndex],...,internalArray[startIndex + numElements -1]
serialVersionUID: -942772950698439883L
defaultTransformer
NumberTransformer defaultTransformer
- A default Number Transformer for Numbers and numeric Strings.
map
java.util.Map<K,V> map
- The internal Map.
jHepWork 1.1 (C) Chekanov