Uses of Class
ch.akuhn.matrix.Matrix

Packages that use Matrix

Package	Description
ch.akuhn.matrix
ch.akuhn.matrix.eigenvalues
org.openimaj.math.matrix
org.openimaj.ml.linear.learner.matlib
org.openimaj.ml.linear.learner.matlib.init
org.openimaj.ml.linear.learner.matlib.loss
org.openimaj.ml.linear.learner.matlib.regul

Uses of Matrix in ch.akuhn.matrix

Subclasses of Matrix in ch.akuhn.matrix

Modifier and Type	Class and Description
class	DenseMatrix A Dense matrix.
class	SparseMatrix A sparse matrix
class	SymmetricMatrix Matrix where aij = aji for all elements.

Methods in ch.akuhn.matrix that return Matrix

Modifier and Type	Method and Description
static Matrix	Matrix.dense(int n, int m) Create a zeroed dense matrix
static Matrix	Matrix.from(int n, int m, double... values) Build a matrix from the given values (row-major)
Matrix	Matrix.newInstance()
Matrix	DenseMatrix.newInstance(int rows, int cols)
Matrix	SparseMatrix.newInstance(int rows, int cols)
abstract Matrix	Matrix.newInstance(int rows, int cols)

Uses of Matrix in ch.akuhn.matrix.eigenvalues

Methods in ch.akuhn.matrix.eigenvalues with parameters of type Matrix

Modifier and Type	Method and Description
static FewEigenvalues	FewEigenvalues.of(Matrix matrix)
static Eigenvalues	Eigenvalues.of(Matrix A) Get an object that can compute the eigendecomposition of the given matrix.

Constructors in ch.akuhn.matrix.eigenvalues with parameters of type Matrix

Constructor and Description
AllEigenvalues(Matrix A) Construct with the given matrix
SingularValues(Matrix A, int nev) Construct with the given matrix and required number of S.V.s

Uses of Matrix in org.openimaj.math.matrix

Subclasses of Matrix in org.openimaj.math.matrix

Modifier and Type	Class and Description
class	DiagonalMatrix
class	JamaDenseMatrix Dense matrix wrapper for a JAMA matrix.

Methods in org.openimaj.math.matrix with type parameters of type Matrix

Modifier and Type	Method and Description
static <T extends Matrix> T	MatlibMatrixUtils.appendColumn(T m, Vector col)
static <T extends Matrix> T	MatlibMatrixUtils.appendRow(T m, Vector row)
static <T extends Matrix> T	MatlibMatrixUtils.copy(T sparseMatrix) Copy a matrix
static <T extends Matrix> T	MatlibMatrixUtils.dotProductTranspose(Matrix A, Matrix B, T Y) Y = A .
static <T extends Matrix> T	MatlibMatrixUtils.minus(double v, T l)
static <T extends Matrix> T	MatlibMatrixUtils.minus(T l, double v)
static <T extends Matrix> T	MatlibMatrixUtils.minusInplace(DiagonalMatrix D, T A) Subtract two matrices, storing the result in the second: A = D - A
static <T extends Matrix> T	MatlibMatrixUtils.plusInplace(DiagonalMatrix D, T A) Add two matrices, storing the results in the second: A = D + A
static <T extends Matrix> T	MatlibMatrixUtils.plusInplace(T A, double d) Add a constant inplace A = A + d
static <T extends Matrix> T	MatlibMatrixUtils.plusInplace(T A, Matrix B) Add two matrices, storing the results in the first: A = A + B
static <T extends Matrix> T	MatlibMatrixUtils.powInplace(T matrix, double d) Raise each element to the power d, operating on the matrix itself
static <T extends Matrix> T	MatlibMatrixUtils.scaleInplace(T A, double s) A = A .
static <T extends Matrix> T	MatlibMatrixUtils.subMatrix(T mat, int rowstart, int rowend, int colstart, int colend) Extract the submatrix of the same type of mat
static <T extends Matrix> T	MatlibMatrixUtils.subMatrix(T mat, int rowstart, int rowend, gnu.trove.list.array.TIntArrayList cols)
static <T extends Matrix> T	MatlibMatrixUtils.subMatrix(T mat, gnu.trove.list.array.TIntArrayList rows, int colstart, int colend)
static <T extends Matrix> T	MatlibMatrixUtils.subMatrix(T mat, gnu.trove.TIntCollection rows, gnu.trove.TIntCollection cols) Extract a submatrix from the given rows and cols
static <T extends Matrix> T	MatlibMatrixUtils.transpose(T mat) Transpose a matrix, returning a new matrix.

Methods in org.openimaj.math.matrix that return Matrix

Modifier and Type	Method and Description
static Matrix	MatlibMatrixUtils.dotProduct(Matrix X, Matrix W) Compute the dot product X.W
static Matrix	MatlibMatrixUtils.dotProductTranspose(Matrix A, Matrix B) Compute Y = A .
static Matrix	MatlibMatrixUtils.dotProductTransposeTranspose(Matrix A, Matrix B) Perform: A.T.dot(B.T) without performing the transpose.
static Matrix	MatlibMatrixUtils.fromCF(gov.sandia.cognition.math.matrix.Matrix init) Create a Matrix from the Cognitive Foundry equivalent
static Matrix	MatlibMatrixUtils.fromJama(Jama.Matrix sol)
static Matrix	MatlibMatrixUtils.fromMatlab(com.jmatio.types.MLArray mlArray) Create a Matrix from a matlab MLArray
static Matrix	MatlibMatrixUtils.minus(Matrix A, Matrix B) Subtract matrices A-B
static Matrix	MatlibMatrixUtils.minusInplace(Matrix A, Matrix B) Subtract two matrices, storing the result in the first: A = A - B
Matrix	DiagonalMatrix.newInstance(int rows, int cols)
Matrix	JamaDenseMatrix.newInstance(int rows, int cols)
static Matrix	MatlibMatrixUtils.timesInplace(Matrix A, Matrix B)
static Matrix	MatlibMatrixUtils.transposeDotProduct(Matrix A, Matrix B) Compute A^T .
static Matrix	MatlibMatrixUtils.vstack(Matrix... matricies) Stack matrices vertically

Methods in org.openimaj.math.matrix with parameters of type Matrix

Modifier and Type	Method and Description
static com.jmatio.types.MLDouble	MatlibMatrixUtils.asMatlab(Matrix m)
static Matrix	MatlibMatrixUtils.dotProduct(Matrix X, Matrix W) Compute the dot product X.W
static Matrix	MatlibMatrixUtils.dotProductTranspose(Matrix A, Matrix B) Compute Y = A .
static <T extends Matrix> T	MatlibMatrixUtils.dotProductTranspose(Matrix A, Matrix B, T Y) Y = A .
static Matrix	MatlibMatrixUtils.dotProductTransposeTranspose(Matrix A, Matrix B) Perform: A.T.dot(B.T) without performing the transpose.
static double	MatlibMatrixUtils.max(Matrix mat) uses the second value returned by MatlibMatrixUtils.minmaxmean(Matrix)
static double	MatlibMatrixUtils.mean(Matrix mat) uses the third value returned by MatlibMatrixUtils.minmaxmean(Matrix)
static double	MatlibMatrixUtils.min(Matrix mat) uses the first value returned by MatlibMatrixUtils.minmaxmean(Matrix)
static double[]	MatlibMatrixUtils.minmaxmean(Matrix mat) Calculate all 3, used by MatlibMatrixUtils.min(Matrix), MatlibMatrixUtils.max(Matrix) and MatlibMatrixUtils.mean(Matrix)
static Matrix	MatlibMatrixUtils.minus(Matrix A, Matrix B) Subtract matrices A-B
static Matrix	MatlibMatrixUtils.minusInplace(Matrix A, Matrix B) Subtract two matrices, storing the result in the first: A = A - B
static double	MatlibMatrixUtils.normF(Matrix A) Compute the Frobenius norm
static SparseMatrix	MatlibMatrixUtils.plusInplace(SparseMatrix A, Matrix B) Add two matrices, storing the results in the first: A = A + B
static <T extends Matrix> T	MatlibMatrixUtils.plusInplace(T A, Matrix B) Add two matrices, storing the results in the first: A = A + B
static Jama.Matrix	PseudoInverse.pseudoInverse(Matrix matrix, int rank) Compute the lower-rank approximation of the Moore-Penrose Pseudo-Inverse.
static void	MatlibMatrixUtils.setSubMatrix(Matrix to, int row, int col, Matrix from) Set a submatrix of a larger matrix
static void	MatlibMatrixUtils.setSubMatrixCol(Matrix to, int row, int col, Vector v) Starting from a given row of a column, set the values of a matrix to the values of v
static void	MatlibMatrixUtils.setSubMatrixRow(Matrix to, int row, int col, Vector v) Starting from a given column of a row, set the values of a matrix to the values of v
static double	MatlibMatrixUtils.sparsity(Matrix mat) Compute the matrix sparsity (i.e.
static Matrix	MatlibMatrixUtils.timesInplace(Matrix A, Matrix B)
static Jama.Matrix	MatlibMatrixUtils.toJama(Matrix laplacian)
static no.uib.cipr.matrix.Matrix	MatlibMatrixUtils.toMTJ(Matrix sol)
static Matrix	MatlibMatrixUtils.transposeDotProduct(Matrix A, Matrix B) Compute A^T .
static Matrix	MatlibMatrixUtils.vstack(Matrix... matricies) Stack matrices vertically

Constructors in org.openimaj.math.matrix with parameters of type Matrix

Constructor and Description
DiagonalMatrix(Matrix mat)
ThinSingularValueDecomposition(Matrix matrix, int ndims) Perform thin SVD on matrix, calculating at most ndims dimensions.

Uses of Matrix in org.openimaj.ml.linear.learner.matlib

Fields in org.openimaj.ml.linear.learner.matlib declared as Matrix

Modifier and Type	Field and Description
protected Matrix	MatlibBilinearSparseOnlineLearner.bias
protected Matrix	MatlibBilinearSparseOnlineLearner.diagX
protected Matrix	MatlibBilinearSparseOnlineLearner.u
protected Matrix	MatlibBilinearSparseOnlineLearner.w

Methods in org.openimaj.ml.linear.learner.matlib that return Matrix

Modifier and Type	Method and Description
Matrix	MatlibBilinearSparseOnlineLearner.getBias()
Matrix	MatlibBilinearSparseOnlineLearner.getU()
Matrix	MatlibBilinearSparseOnlineLearner.getW()
Matrix	MatlibBilinearSparseOnlineLearner.predict(Matrix x)
protected Matrix	MatlibBilinearSparseOnlineLearner.updateBias(Matrix biasGrad, double biasLossWeight)
protected Matrix	MatlibBilinearSparseOnlineLearner.updateU(Matrix currentU, double uLossWeight, double uWeightedLambda)
protected Matrix	MatlibBilinearSparseOnlineLearner.updateW(Matrix currentW, double wLossWeighted, double weightedLambda)

Methods in org.openimaj.ml.linear.learner.matlib with parameters of type Matrix

Modifier and Type	Method and Description
static SparseMatrix	MatlibBilinearSparseOnlineLearner.expandY(Matrix Y) Given a flat value matrix, makes a diagonal sparse matrix containing the values as the diagonal
Matrix	MatlibBilinearSparseOnlineLearner.predict(Matrix x)
void	MatlibBilinearSparseOnlineLearner.process(Matrix X, Matrix Y)
void	MatlibBilinearSparseOnlineLearner.setU(Matrix newu)
void	MatlibBilinearSparseOnlineLearner.setW(Matrix neww)
protected Matrix	MatlibBilinearSparseOnlineLearner.updateBias(Matrix biasGrad, double biasLossWeight)
protected Matrix	MatlibBilinearSparseOnlineLearner.updateU(Matrix currentU, double uLossWeight, double uWeightedLambda)
protected Matrix	MatlibBilinearSparseOnlineLearner.updateW(Matrix currentW, double wLossWeighted, double weightedLambda)

Uses of Matrix in org.openimaj.ml.linear.learner.matlib.init

Methods in org.openimaj.ml.linear.learner.matlib.init that return Matrix

Modifier and Type	Method and Description
Matrix	SparseSingleValueInitStrat.init(int rows, int cols)
Matrix	InitStrategy.init(int rows, int cols)
Matrix	SingleValueInitStrat.init(int rows, int cols)
Matrix	SparseZerosInitStrategy.init(int rows, int cols)

Uses of Matrix in org.openimaj.ml.linear.learner.matlib.loss

Fields in org.openimaj.ml.linear.learner.matlib.loss declared as Matrix

Modifier and Type	Field and Description
protected Matrix	LossFunction.bias
protected Matrix	LossFunction.X
protected Matrix	LossFunction.Y

Methods in org.openimaj.ml.linear.learner.matlib.loss that return Matrix

Modifier and Type	Method and Description
Matrix	MatLossFunction.gradient(Matrix W)
Matrix	MatSquareLossFunction.gradient(Matrix W)
abstract Matrix	LossFunction.gradient(Matrix W)

Methods in org.openimaj.ml.linear.learner.matlib.loss with parameters of type Matrix

Modifier and Type	Method and Description
double	MatLossFunction.eval(Matrix W)
double	MatSquareLossFunction.eval(Matrix W)
abstract double	LossFunction.eval(Matrix W)
Matrix	MatLossFunction.gradient(Matrix W)
Matrix	MatSquareLossFunction.gradient(Matrix W)
abstract Matrix	LossFunction.gradient(Matrix W)
void	MatLossFunction.setBias(Matrix bias)
void	LossFunction.setBias(Matrix bias)
void	MatLossFunction.setX(Matrix X)
void	LossFunction.setX(Matrix X)
void	MatLossFunction.setY(Matrix Y)
void	LossFunction.setY(Matrix Y)

Uses of Matrix in org.openimaj.ml.linear.learner.matlib.regul

Methods in org.openimaj.ml.linear.learner.matlib.regul that return Matrix

Modifier and Type	Method and Description
Matrix	Regulariser.prox(Matrix W, double lambda)
Matrix	L1Regulariser.prox(Matrix W, double lambda)
Matrix	L1L2Regulariser.prox(Matrix W, double lambda)

Methods in org.openimaj.ml.linear.learner.matlib.regul with parameters of type Matrix

Modifier and Type	Method and Description
Matrix	Regulariser.prox(Matrix W, double lambda)
Matrix	L1Regulariser.prox(Matrix W, double lambda)
Matrix	L1L2Regulariser.prox(Matrix W, double lambda)