umontreal.ssj.latnetbuilder.DigitalNetSearch.DigitalNetBase2FromLatNetBuilder Class Reference

Class for the construction of digital nets. More...

Inheritance diagram for umontreal.ssj.latnetbuilder.DigitalNetSearch.DigitalNetBase2FromLatNetBuilder:

Additional Inherited Members
Public Member Functions inherited from umontreal.ssj.hups.DigitalNetBase2
double	getCoordinate (int i, int j)
	Returns \(u_{i',j}\), the coordinate \(j\) of point \(i'\), where \(i'\) is the Gray code for \(i\).
double	getCoordinateNoGray (int i, int j)
	Returns \(u_{i,j}\), the coordinate \(j\) of point \(i\), the points being enumerated in the standard order (no Gray code).
PointSetIterator	iterator ()
	Returns a DigitalNetBase2Iterator which enumerates the points using a Gray code.
PointSetIterator	iteratorNoGray ()
	This iterator does not use the Gray code.
String	toString ()
	Formats a string that contains information on this digital net.
void	addRandomShift (int d1, int d2, RandomStream stream)
	Generates a random digital shift for coordinates \(j\) from d1 to d2-1, using stream to generate the random numbers.
void	addRandomShift (RandomStream stream)
	Same as addRandomShift(0, dim, stream), where dim is the dimension of the digital net.
void	clearRandomShift ()
	Erases the current digital random shift, if any.
void	leftMatrixScramble (int r, RandomStream stream)
	This is a version of LMS in which each column of the lower-triangular scrambling matrix is represented as an integer less than 2^w, just like for Cj.
void	leftMatrixScramble (RandomStream stream)
	By default, the matrices L_j have r = w rows.
void	iBinomialMatrixScramble (RandomStream stream)
	Similar to leftMatrixScramble, except that all entries on any given diagonal or subdiagonal of any given \(\mathbf{M}_j\) are identical.
void	stripedMatrixScramble (RandomStream stream)
	Applies the striped matrix scramble proposed by Owen.
void	rightMatrixScramble (RandomStream stream)
	Applies a linear scramble by multiplying each \(\mathbf{C}_j\) on the right by a single \(k\times k\) nonsingular upper-triangular matrix \(\mathbf{M}\), as suggested by Faure and Tezuka.
void	nestedUniformScramble (RandomStream stream, double[][] output)
	Same as nestedUniformScramble(stream, output, 0) .
void	nestedUniformScramble (RandomStream stream, double[][] output, int numBits)
	Applies Owen's nested uniform scrambling to the digital net and returns the scrambled points in the two-dimensional array output.
void	nestedUniformScramble (RandomStream stream, int[][] output, int numBits)
	Same as nestedUniformScramble(RandomStream,double[][],int), but it returns the points as integers from 0 to 2^outDigits - 1, instead of doubles.
void	leftMatrixScrambleDiag (RandomStream stream)
	Similar to leftMatrixScramble except that all the off-diagonal elements of the \(\mathbf{M}_j\) are 0.
void	leftMatrixScrambleFaurePermut (RandomStream stream, int sb)
	Similar to leftMatrixScramble except that the diagonal elements of each matrix \(\mathbf{M}_j\) are chosen from a restricted set of the best integers as calculated by Faure [58] .
void	leftMatrixScrambleFaurePermutDiag (RandomStream stream, int sb)
	Similar to leftMatrixScrambleFaurePermut except that all off-diagonal elements are 0.
void	leftMatrixScrambleFaurePermutAll (RandomStream stream, int sb)
	Similar to leftMatrixScrambleFaurePermut except that the elements under the diagonal are also chosen from the same restricted set as the diagonal elements.
void	iBinomialMatrixScrambleFaurePermut (RandomStream stream, int sb)
	Similar to iBinomialMatrixScramble except that the diagonal elements of each matrix \(\mathbf{M}_j\) are chosen as in leftMatrixScrambleFaurePermut.
void	iBinomialMatrixScrambleFaurePermutDiag (RandomStream stream, int sb)
	Similar to iBinomialMatrixScrambleFaurePermut except that all the off-diagonal elements are 0.
void	iBinomialMatrixScrambleFaurePermutAll (RandomStream stream, int sb)
	Similar to iBinomialMatrixScrambleFaurePermut except that the elements under the diagonal are also chosen from the same restricted set as the diagonal elements.
void	stripedMatrixScrambleFaurePermutAll (RandomStream stream, int sb)
	Similar to stripedMatrixScramble except that the elements on and under the diagonal of each matrix \(\mathbf{M}_j\) are chosen as in leftMatrixScrambleFaurePermut.
void	unrandomize ()
	Restores the original generator matrices and removes the random shift.
void	resetGenMatrices ()
	Restores genMat to the original generator matrices.
void	eraseOriginalGenMatrices ()
	Erases the original generator matrices and replaces them by the current ones.
int[][][]	genMatricesToBitByBitFormat ()
	Returns the generator matrices as a 3-dimensional array of shape dim x numRows x numCols integers, one integer for each bit.
void	genMatricesFromBitByBitFormat (int[][][] matrices)
	Reverse of the previous function.
void	printGeneratorMatrices (int s)
	Prints the generating matrices bit by bit for dimensions 1 to \(s\).
void	printGenMatrices (int s)
	Prints the generating matrices in the standard format, one integer per column, for dimensions 1 to \(s\).
void	printOriginalMatrices (int s)
	Prints the generating matrices in the standard format, one integer per column, for dimensions 1 to \(s\).
int[]	getGenMatrices ()
	Returns a copy of the generator matrices for dimensions 1 to \(s\).
void	outputInterlace (int[][] points, double[][] interlacedPoints)
	Interlaces the points from a digital net.
DigitalNetBase2	matrixInterlace ()
	Interlaces the matrices from a digital net.
Public Member Functions inherited from umontreal.ssj.hups.DigitalNet
	DigitalNet ()
	Empty constructor.
int	getInterlacing ()
	Returns the interlacing factor.
void	setInterlacing (int interlacing)
	Sets the interlacing factor.
void	resetGeneratorMatrices ()
	Restores the original generator matrices.
void	eraseOriginalGeneratorMatrices ()
	Erases the original generator matrices and replaces them by the current ones.
Public Member Functions inherited from umontreal.ssj.hups.PointSet
int	getDimension ()
	Returns the dimension (number of available coordinates) of the points.
int	getNumPoints ()
	Returns the number of points.
void	randomize (PointSetRandomization rand)
	Randomizes this point set using the given rand.
void	addRandomShift (int d1, int d2)
	Refreshes the random shift (generates new uniform values for the random shift coordinates) for coordinates d1 to d2-1, using the saved shiftStream.
void	addRandomShift ()
	Same as addRandomShift(0, dim), where dim is the dimension of the point set.
String	formatPoints ()
	Same as invoking formatPoints(n, d) with \(n\) and \(d\) equal to the number of points and the dimension of this object, respectively.
String	formatPoints (int n, int d)
	Formats a string that displays the same information as returned by toString, together with the first \(d\) coordinates of the first.
String	formatPoints (PointSetIterator iter)
	Same as invoking formatPoints(iter, n, d) with \(n\) and \(d\) equal to the number of points and the dimension, respectively.
String	formatPoints (PointSetIterator iter, int n, int d)
	Same as invoking formatPoints(n, d), but prints the points by calling iter repeatedly.
String	formatPointsBase (int b)
	Similar to formatPoints(), but the points coordinates are printed in base \(b\).
String	formatPointsBase (int n, int d, int b)
	Similar to formatPoints(n, d), but the points coordinates are printed in base \(b\).
String	formatPointsBase (PointSetIterator iter, int b)
	Similar to formatPoints(iter), but the points coordinates are printed in base.
String	formatPointsBase (PointSetIterator iter, int n, int d, int b)
	Similar to formatPoints(iter, n, d), but the points coordinates are printed in base \(b\).
String	formatPointsNumbered ()
	Same as invoking formatPointsNumbered(n, d) with \(n\) and \(d\) equal to the number of points and the dimension, respectively.
String	formatPointsNumbered (int n, int d)
	Same as invoking formatPoints(n,d), except that the points are numbered.
Static Public Member Functions inherited from umontreal.ssj.hups.PointSet
static int	getMaxBits ()
	Returns the maximum number of usable bits.
Protected Attributes inherited from umontreal.ssj.hups.PointSet
double	EpsilonHalf = 1.0 / Num.TWOEXP[55]
	To avoid 0 for nextCoordinate when random shifting, we add this to each coordinate.
int	dim = 0
	Dimension of the points.
int	numPoints = 0
	Number of points.
int	dimShift = 0
	Current dimension of the shift.
int	capacityShift = 0
	Number of array elements in the shift vector, always >= dimShift.
double[]	shift
	This is the shift vector as a double[] array, which contains the current random shift in case we apply a random shift modulo 1.
RandomStream	shiftStream
	Stream used to generate the random shifts.
Static Protected Attributes inherited from umontreal.ssj.hups.PointSet
static final int	MAXBITS = 31
	Since Java has no unsigned type, the 32nd bit cannot be used efficiently, so we have only 31 bits.

Detailed Description

Class for the construction of digital nets.

Definition at line 39 of file DigitalNetSearch.java.

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

• src/main/java/umontreal/ssj/latnetbuilder/DigitalNetSearch.java