Uses of Class
javax.vecmath.GMatrix

Packages that use GMatrix

com.gregdennis.drej
javax.vecmath

Uses of GMatrix in com.gregdennis.drej

Methods in com.gregdennis.drej that return GMatrix

static GMatrix	Regression.kernelMatrix(GMatrix data, Kernel kernel) Returns a kernel matrix for the specified data matrix (each column contains a data point) and the specified kernel.
static GMatrix	Matrices.randomGaussianMatrix(int rows, int cols) Returns a matrix with the specified number of rows and columns where each element is randomly chosen from a Gaussian ("normal") distribution with mean 0.0 and standard deviation 1.0.
static GMatrix	Matrices.randomUniformMatrix(int rows, int cols) Returns a matrix with the specified number of rows and columns where each element is randomly chosen from a uniform distribution on the interval [0, 1].

Methods in com.gregdennis.drej with parameters of type GMatrix

static GMatrix	Regression.kernelMatrix(GMatrix data, Kernel kernel) Returns a kernel matrix for the specified data matrix (each column contains a data point) and the specified kernel.
static GVector	Matrices.mapCols(Function fun, GMatrix points) Maps the given function to each column in the points matrix and returns the vector of values.
static GVector	Matrices.mapRows(Function fun, GMatrix points) Maps the given function to each row in the points matrix and returns the vector of values.
static Representer	Regression.solve(GMatrix data, GVector values, Kernel kernel, double lambda) Performs a least squares regression for the specified data matrix (one data point in each column), and returns a representer function fit to the data.

Constructors in com.gregdennis.drej with parameters of type GMatrix

Representer(Kernel kernel, GMatrix data, GVector coeffs)
Constructs a new representer with the specified kernel, data matrix, and coefficients.

Uses of GMatrix in javax.vecmath

Methods in javax.vecmath with parameters of type GMatrix

void	GMatrix.add(GMatrix m1) Sets the value of this matrix to sum of itself and matrix m1.
void	GMatrix.add(GMatrix m1, GMatrix m2) Sets the value of this matrix to the matrix sum of matrices m1 and m2.
void	GMatrix.copySubMatrix(int rowSource, int colSource, int numRow, int numCol, int rowDest, int colDest, GMatrix target) Copies a sub-matrix derived from this matrix into the target matrix.
boolean	GMatrix.epsilonEquals(GMatrix m1, double epsilon) Returns true if the L-infinite distance between this matrix and matrix m1 is less than or equal to the epsilon parameter, otherwise returns false.
boolean	GMatrix.epsilonEquals(GMatrix m1, float epsilon) Deprecated. Use epsilonEquals(GMatrix, double) instead
boolean	GMatrix.equals(GMatrix m1) Returns true if all of the data members of GMatrix m1 are equal to the corresponding data members in this GMatrix.
void	GMatrix.get(GMatrix m1) Places the values in the this GMatrix into the matrix m1; m1 should be at least as large as this GMatrix.
void	GMatrix.invert(GMatrix m1) Inverts matrix m1 and places the new values into this matrix.
int	GMatrix.LUD(GMatrix LU, GVector permutation) LU Decomposition: this matrix must be a square matrix and the LU GMatrix parameter must be the same size as this matrix.
void	GVector.LUDBackSolve(GMatrix LU, GVector b, GVector permutation) LU Decomposition Back Solve; this method takes the LU matrix and the permutation vector produced by the GMatrix method LUD and solves the equation (LU)*x = b by placing the solution vector x into this vector.
void	GMatrix.mul(GMatrix m1) Sets the value of this matrix to the result of multiplying itself with matrix m1 (this = this * m1).
void	GMatrix.mul(GMatrix m1, GMatrix m2) Sets the value of this matrix to the result of multiplying the two argument matrices together (this = m1 * m2).
void	GVector.mul(GMatrix m1, GVector v1) Multiplies matrix m1 times Vector v1 and places the result into this vector (this = m1*v1).
void	GVector.mul(GVector v1, GMatrix m1) Multiplies the transpose of vector v1 (ie, v1 becomes a row vector with respect to the multiplication) times matrix m1 and places the result into this vector (this = transpose(v1)*m1).
void	GMatrix.mulTransposeBoth(GMatrix m1, GMatrix m2) Multiplies the transpose of matrix m1 times the transpose of matrix m2, and places the result into this.
void	GMatrix.mulTransposeLeft(GMatrix m1, GMatrix m2) Multiplies the transpose of matrix m1 times matrix m2, and places the result into this.
void	GMatrix.mulTransposeRight(GMatrix m1, GMatrix m2) Multiplies matrix m1 times the transpose of matrix m2, and places the result into this.
void	GMatrix.negate(GMatrix m1) Sets the value of this matrix equal to the negation of of the GMatrix parameter.
void	GMatrix.set(GMatrix m1) Sets the value of this matrix to the values found in matrix m1.
void	GMatrix.sub(GMatrix m1) Sets the value of this matrix to the matrix difference of itself and matrix m1 (this = this - m1).
void	GMatrix.sub(GMatrix m1, GMatrix m2) Sets the value of this matrix to the matrix difference of matrices m1 and m2 (this = m1 - m2).
int	GMatrix.SVD(GMatrix U, GMatrix W, GMatrix V) Finds the singular value decomposition (SVD) of this matrix such that this = U*W*transpose(V); and returns the rank of this matrix; the values of U,W,V are all overwritten.
void	GVector.SVDBackSolve(GMatrix U, GMatrix W, GMatrix V, GVector b) Solves for x in Ax = b, where x is this vector (nx1), A is mxn, b is mx1, and A = U*W*transpose(V); U,W,V must be precomputed and can be found by taking the singular value decomposition (SVD) of A using the method SVD found in the GMatrix class.
void	GMatrix.transpose(GMatrix m1) Places the matrix values of the transpose of matrix m1 into this matrix.

Constructors in javax.vecmath with parameters of type GMatrix

GMatrix(GMatrix matrix)
Constructs a new GMatrix and copies the initial values from the parameter matrix.