SSJ API Documentation
Stochastic Simulation in Java
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umontreal.ssj.discrepancy.BigDiscShiftBaker1 Class Reference

This class computes the same discrepancy as in DiscShiftBaker1 [see eq. More...

Inheritance diagram for umontreal.ssj.discrepancy.BigDiscShiftBaker1:
umontreal.ssj.discrepancy.BigDiscrepancy umontreal.ssj.discrepancy.Discrepancy umontreal.ssj.discrepancy.BigDiscShiftBaker1Lattice

Public Member Functions

 BigDiscShiftBaker1 (double[][] points, int n, int s)
 Constructor with the \(n\) points points[i] in \(s\) dimensions, with all the weights \(\gamma_r = 1\).
 BigDiscShiftBaker1 (double[][] points, int n, int s, double[] gamma)
 Constructor with the \(n\) points points[i] in \(s\) dimensions, with weights \(\gamma_r = \) gamma[r-1].
 BigDiscShiftBaker1 (int n, int s, double[] gamma)
 Constructor for a lattice of \(n\) points in \(s\) dimensions, with weights \(\gamma_r = \) gamma[r-1], \(r = 1,2, …, s\).
 BigDiscShiftBaker1 (PointSet set)
 Constructor with the point set set.
 BigDiscShiftBaker1 ()
 Empty constructor.
double compute (double[][] points, int n, int s)
 NOT IMPLEMENTED.
double compute (double[][] points, int n, int s, double[] gamma)
 NOT IMPLEMENTED.
Public Member Functions inherited from umontreal.ssj.discrepancy.BigDiscrepancy
 BigDiscrepancy (double[][] points, int n, int s)
 Constructor with the \(n\) points points[i] in \(s\) dimensions.
 BigDiscrepancy (double[][] points, int n, int s, double[] gamma)
 Constructor with the \(n\) points points[i] in \(s\) dimensions with weight factors gamma.
 BigDiscrepancy (int n, int s, double[] gamma)
 The number of points is \(n\), the dimension \(s\), and the.
 BigDiscrepancy (PointSet set)
 Constructor with the point set set.
 BigDiscrepancy ()
 Empty constructor.
Public Member Functions inherited from umontreal.ssj.discrepancy.Discrepancy
 Discrepancy (double[][] points, int n, int s)
 Constructor with the \(n\) points points[i] in \(s\) dimensions.
 Discrepancy (double[][] points, int n, int s, double[] gamma)
 Constructor with the \(n\) points points[i] in \(s\) dimensions and the \(s\) weight factors gamma[ \(j\)], \(j = 0, 1, …, (s-1)\).
 Discrepancy (int n, int s, double[] gamma)
 The number of points is \(n\), the dimension \(s\), and the.
 Discrepancy (PointSet set)
 Constructor with the point set set.
 Discrepancy ()
 Empty constructor.
double compute ()
 Computes the discrepancy of all the points in maximal dimension (dimension of the points).
double compute (int s)
 Computes the discrepancy of all the points in dimension \(s\).
double compute (double[][] points)
 Computes the discrepancy of all the points of points in maximum dimension.
double compute (double[] T, int n)
 Computes the discrepancy of the first n points of T in 1 dimension.
double compute (double[] T)
 Computes the discrepancy of all the points of T in 1 dimension.
double compute (double[] T, int n, double gamma)
 Computes the discrepancy of the first n points of T in 1 dimension with weight gamma.
double compute (PointSet set, double[] gamma)
 Computes the discrepancy of all the points in set in the same dimension as the point set and with weights gamma.
double compute (PointSet set)
 Computes the discrepancy of all the points in set in the same dimension as the point set.
int getNumPoints ()
 Returns the number of points \(n\).
int getDimension ()
 Returns the dimension of the points \(s\).
void setPoints (double[][] points, int n, int s)
 Sets the points to points and the dimension to \(s\).
void setPoints (double[][] points)
 Sets the points to points.
void setGamma (double[] gam, int s)
 Sets the weight factors to gam for each dimension up to \(s\).
double[] getGamma ()
 Returns the weight factors gamma for each dimension up to \(s\).
String toString ()
 Returns the parameters of this class.
String formatPoints ()
 Returns all the points of this class.
String getName ()
 Returns the name of the Discrepancy.

Additional Inherited Members

Static Public Member Functions inherited from umontreal.ssj.discrepancy.Discrepancy
static double[][] toArray (PointSet set)
 Returns all the \(n\) points ( \(s\)-dimensional) of.
static DoubleArrayList sort (double[] T, int n)
 Sorts the first \(n\) points of \(T\).

Detailed Description

This class computes the same discrepancy as in DiscShiftBaker1 [see eq.

( baker1 )], but uses multi-precision real numbers.

No method are implemented yet for this class.

Only the subclass BigDiscShiftBaker1Lattice has implemented methods to compute the discrepancy.

Definition at line 43 of file BigDiscShiftBaker1.java.

Constructor & Destructor Documentation

◆ BigDiscShiftBaker1() [1/5]

umontreal.ssj.discrepancy.BigDiscShiftBaker1.BigDiscShiftBaker1 ( double points[][],
int n,
int s )

Constructor with the \(n\) points points[i] in \(s\) dimensions, with all the weights \(\gamma_r = 1\).

points[i][r] is the r-th coordinate of point i. Indices i and r start at 0.

Definition at line 64 of file BigDiscShiftBaker1.java.

◆ BigDiscShiftBaker1() [2/5]

umontreal.ssj.discrepancy.BigDiscShiftBaker1.BigDiscShiftBaker1 ( double points[][],
int n,
int s,
double[] gamma )

Constructor with the \(n\) points points[i] in \(s\) dimensions, with weights \(\gamma_r = \) gamma[r-1].

points[i][r] is the r-th coordinate of point i. Indices i and r start at 0.

Definition at line 73 of file BigDiscShiftBaker1.java.

◆ BigDiscShiftBaker1() [3/5]

umontreal.ssj.discrepancy.BigDiscShiftBaker1.BigDiscShiftBaker1 ( int n,
int s,
double[] gamma )

Constructor for a lattice of \(n\) points in \(s\) dimensions, with weights \(\gamma_r = \) gamma[r-1], \(r = 1,2, …, s\).

The \(n\) points will be chosen later.

Definition at line 82 of file BigDiscShiftBaker1.java.

◆ BigDiscShiftBaker1() [4/5]

umontreal.ssj.discrepancy.BigDiscShiftBaker1.BigDiscShiftBaker1 ( PointSet set)

Constructor with the point set set.

All the points are copied in an internal array.

Definition at line 90 of file BigDiscShiftBaker1.java.

◆ BigDiscShiftBaker1() [5/5]

umontreal.ssj.discrepancy.BigDiscShiftBaker1.BigDiscShiftBaker1 ( )

Empty constructor.

One must set the points, the dimension, and the weight factors before calling any method.

Definition at line 98 of file BigDiscShiftBaker1.java.

Member Function Documentation

◆ compute() [1/2]

double umontreal.ssj.discrepancy.BigDiscShiftBaker1.compute ( double points[][],
int n,
int s )

NOT IMPLEMENTED.

Reimplemented from umontreal.ssj.discrepancy.Discrepancy.

Reimplemented in umontreal.ssj.discrepancy.BigDiscShiftBaker1Lattice.

Definition at line 104 of file BigDiscShiftBaker1.java.

◆ compute() [2/2]

double umontreal.ssj.discrepancy.BigDiscShiftBaker1.compute ( double points[][],
int n,
int s,
double[] gamma )

NOT IMPLEMENTED.

Reimplemented from umontreal.ssj.discrepancy.Discrepancy.

Reimplemented in umontreal.ssj.discrepancy.BigDiscShiftBaker1Lattice.

Definition at line 112 of file BigDiscShiftBaker1.java.


The documentation for this class was generated from the following file: