SSJ API Documentation
Stochastic Simulation in Java
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umontreal.ssj.discrepancy.DiscL2Symmetric Class Reference

COMPLÉTER LA DOC ICI. More...

Inheritance diagram for umontreal.ssj.discrepancy.DiscL2Symmetric:
umontreal.ssj.discrepancy.Discrepancy

Public Member Functions

double compute (double[][] points, int n, int s, double[] gamma)
 Computes the discrepancy of the first n points of points in dimension s with weights gamma.
 DiscL2Symmetric (double[][] points, int n, int s)
 Constructor with the \(n\) points points[i] in \(s\) dimensions.
 DiscL2Symmetric (int n, int s)
 Constructor with \(n\) points in dimension \(s\).
 DiscL2Symmetric (PointSet set)
 Constructor with the point set set.
 DiscL2Symmetric ()
 Empty constructor.
double compute (double[][] points, int n, int s)
 Computes the \(\mathcal{L}_2\)-symmetric discrepancy for the set of \(n\) \(s\)-dimensional points points, using formula ( sym ).
double compute (double[] T, int n)
 Computes the \(\mathcal{L}_2\)-symmetric discrepancy for the set of \(n\) 1-dimensional points.
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)
 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

COMPLÉTER LA DOC ICI.

This class computes the \(\mathcal{L}_2\)-symmetric discrepancy for a set of points [78],

[163] , given by

\[ [\mathcal{D}_s(\mathcal{P})]^2 = \left(\frac{4}{3}\right)^s - \frac{2}{n} \sum_{i=1}^n \prod_{k=1}^s \left(1 + 2z_{ik} - 2z_{ik}^2\right) + \frac{2^s}{n^2} \sum_{i=1}^n\sum_{j=1}^n \prod_{k=1}^s \left(1 - |z_{ik} - z_{jk}|\right), \tag{sym} \]

where \(n\) is the number of points of \(\mathcal{P}\), \(s\) is the dimension, and \(z_{ik}\) is the \(k\)-th coordinate of point \(i\).

In one dimension, formula ( sym ) is equivalent to

\[ [\mathcal{D}_s(\mathcal{P})]^2 = \frac{4}{3} - \frac{4}{n} \sum_{i=1}^n z_i(1 - z_i) - \frac{2}{n^2} \sum_{i=1}^n\sum_{j=1}^n|z_i - z_j|, \tag{symD1} \]

where \(z_i\) is the coordinate of point \(i\).

Definition at line 55 of file DiscL2Symmetric.java.

Constructor & Destructor Documentation

◆ DiscL2Symmetric() [1/4]

umontreal.ssj.discrepancy.DiscL2Symmetric.DiscL2Symmetric ( double points[][],
int n,
int s )

Constructor with the \(n\) points points[i] in \(s\) dimensions.

points[i][j] is the \(j\)-th coordinate of point

\(i\). Both \(i\) and \(j\) start at 0.

Definition at line 67 of file DiscL2Symmetric.java.

◆ DiscL2Symmetric() [2/4]

umontreal.ssj.discrepancy.DiscL2Symmetric.DiscL2Symmetric ( int n,
int s )

Constructor with \(n\) points in dimension \(s\).

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

Definition at line 75 of file DiscL2Symmetric.java.

◆ DiscL2Symmetric() [3/4]

umontreal.ssj.discrepancy.DiscL2Symmetric.DiscL2Symmetric ( PointSet set)

Constructor with the point set set.

All the points are copied in an internal array.

Definition at line 83 of file DiscL2Symmetric.java.

◆ DiscL2Symmetric() [4/4]

umontreal.ssj.discrepancy.DiscL2Symmetric.DiscL2Symmetric ( )

Empty constructor.

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

Definition at line 91 of file DiscL2Symmetric.java.

Member Function Documentation

◆ compute() [1/3]

double umontreal.ssj.discrepancy.DiscL2Symmetric.compute ( double[] T,
int n )

Computes the \(\mathcal{L}_2\)-symmetric discrepancy for the set of \(n\) 1-dimensional points.

\(T\), using formula ( symD1 ).

Reimplemented from umontreal.ssj.discrepancy.Discrepancy.

Definition at line 137 of file DiscL2Symmetric.java.

◆ compute() [2/3]

double umontreal.ssj.discrepancy.DiscL2Symmetric.compute ( double points[][],
int n,
int s )

Computes the \(\mathcal{L}_2\)-symmetric discrepancy for the set of \(n\) \(s\)-dimensional points points, using formula ( sym ).

Reimplemented from umontreal.ssj.discrepancy.Discrepancy.

Definition at line 100 of file DiscL2Symmetric.java.

◆ compute() [3/3]

double umontreal.ssj.discrepancy.DiscL2Symmetric.compute ( double points[][],
int n,
int s,
double[] gamma )

Computes the discrepancy of the first n points of points in dimension s with weights gamma.

Reimplemented from umontreal.ssj.discrepancy.Discrepancy.

Definition at line 57 of file DiscL2Symmetric.java.


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