SSJ
3.3.1
Stochastic Simulation in Java
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This abstract class is the base class of all discrepancy classes. More...
Public Member Functions | |
Discrepancy (double[][] points, int n, int s) | |
Constructor with the \(n\) points points[i] in \(s\) dimensions. More... | |
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[ \(j\)] , \(j = 0, 1, …, (s-1)\). More... | |
Discrepancy (int n, int s, double[] gamma) | |
The number of points is \(n\), the dimension \(s\), and the \(s\) weight factors are gamma[ \(j\)] , \(j = 0, 1, …, (s-1)\). More... | |
Discrepancy (PointSet set) | |
Constructor with the point set set . More... | |
Discrepancy () | |
Empty constructor. More... | |
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, int n, int s, double[] gamma) |
Computes the discrepancy of the first n points of points in dimension s with weights gamma . | |
abstract double | compute (double[][] points, int n, int s) |
Computes the discrepancy of the first n points of points in dimension s with weights \(=1\). | |
double | compute (double[][] points) |
Computes the discrepancy of all the points of points in maximum dimension. More... | |
double | compute (double[] T, int n) |
Computes the discrepancy of the first n points of T in 1 dimension. More... | |
double | compute (double[] T) |
Computes the discrepancy of all the points of T in 1 dimension. More... | |
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. More... | |
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 \(s\). More... | |
void | setPoints (double[][] points) |
Sets the points to points . More... | |
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. | |
Static Public Member Functions | |
static double [][] | toArray (PointSet set) |
Returns all the \(n\) points ( \(s\)-dimensional) of umontreal.ssj.hups.PointSet set as an array points[ \(n\)][ \(s\)] . | |
static DoubleArrayList | sort (double[] T, int n) |
Sorts the first \(n\) points of \(T\). More... | |
Protected Member Functions | |
void | appendGamma (StringBuffer sb, double[] gamma, int s) |
Static Protected Member Functions | |
static void | setONES (int s) |
Protected Attributes | |
double [] | gamma |
double [][] | Points |
int | dim |
int | numPoints |
Static Protected Attributes | |
static double [] | ONES = { 1 } |
This abstract class is the base class of all discrepancy classes.
All derived classes must implement the abstract method compute(points, n, s).
Discrepancy | ( | 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. One may also choose points = null
in which case, the points must be set later.
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[
\(j\)]
, \(j = 0, 1, …, (s-1)\).
points[i][j]
is the \(j\)-th coordinate of point \(i\). Both \(i\) and \(j\) start at 0. One may also choose points = null
in which case, the points must be set later.
Discrepancy | ( | int | n, |
int | s, | ||
double [] | gamma | ||
) |
The number of points is \(n\), the dimension \(s\), and the \(s\) weight factors are gamma[
\(j\)]
, \(j = 0, 1, …, (s-1)\).
The \(n\) points will be chosen later.
Discrepancy | ( | PointSet | set | ) |
Constructor with the point set set
.
All the points are copied in an internal array.
Discrepancy | ( | ) |
Empty constructor.
The points and parameters must be defined before calling methods of this or derived classes.
double compute | ( | double | points[][] | ) |
Computes the discrepancy of all the points of points
in maximum dimension.
Calls method compute(points, points.length, points[0].length, gamma).
double compute | ( | double [] | T, |
int | n | ||
) |
Computes the discrepancy of the first n
points of T
in 1 dimension.
Copies the points in an array of arrays and calls method compute(double[][], n, 1). It should be reimplemented in subclasses for better efficiency.
double compute | ( | double [] | T | ) |
Computes the discrepancy of all the points of T
in 1 dimension.
Calls method compute(T, T.length, gamma[0]).
double compute | ( | PointSet | set | ) |
Computes the discrepancy of all the points in set
in the same dimension as the point set.
All the weights \(=1\).
void setPoints | ( | double | points[][], |
int | n, | ||
int | s | ||
) |
Sets the points to points
and the dimension to \(s\).
The number of points is \(n\).
void setPoints | ( | double | points[][] | ) |
Sets the points to points
.
The number of points and the dimension are the same as in points
.
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static |
Sorts the first \(n\) points of \(T\).
Returns the sorted points. Warning: \(T\) is sorted also.