Uses of Class
edu.claflin.finder.algo.clustering.struct.leading_eigenvector_struct.Matrix

Packages that use Matrix

Package	Description
edu.claflin.finder.algo.clustering.struct.leading_eigenvector_struct

Uses of Matrix in edu.claflin.finder.algo.clustering.struct.leading_eigenvector_struct

Methods in edu.claflin.finder.algo.clustering.struct.leading_eigenvector_struct that return Matrix

Modifier and Type	Method	Description
Matrix	Matrix.arrayLeftDivide(Matrix B)	Element-by-element left division, C = A.\B
Matrix	Matrix.arrayLeftDivideEquals(Matrix B)	Element-by-element left division in place, A = A.\B
Matrix	Matrix.arrayRightDivide(Matrix B)	Element-by-element right division, C = A./B
Matrix	Matrix.arrayRightDivideEquals(Matrix B)	Element-by-element right division in place, A = A./B
Matrix	Matrix.arrayTimes(Matrix B)	Element-by-element multiplication, C = A.*B
Matrix	Matrix.arrayTimesEquals(Matrix B)	Element-by-element multiplication in place, A = A.*B
static Matrix	Matrix.constructWithCopy(double[][] A)	Construct a matrix from a copy of a 2-D array.
Matrix	Matrix.copy()	Make a deep copy of a matrix
Matrix	EigenvalueDecomposition.getD()	Return the block diagonal eigenvalue matrix
Matrix	Matrix.getMatrix(int[] r, int[] c)	Get a submatrix.
Matrix	Matrix.getMatrix(int[] r, int j0, int j1)	Get a submatrix.
Matrix	Matrix.getMatrix(int i0, int i1, int[] c)	Get a submatrix.
Matrix	Matrix.getMatrix(int i0, int i1, int j0, int j1)	Get a submatrix.
Matrix	EigenvalueDecomposition.getV()	Return the eigenvector matrix
static Matrix	Matrix.identity(int m, int n)	Generate identity matrix
Matrix	Matrix.minus(Matrix B)	C = A - B
Matrix	Matrix.minusEquals(Matrix B)	A = A - B
Matrix	Matrix.plus(Matrix B)	C = A + B
Matrix	Matrix.plusEquals(Matrix B)	A = A + B
static Matrix	Matrix.random(int m, int n)	Generate matrix with random elements
static Matrix	Matrix.read(BufferedReader input)	Read a matrix from a stream.
Matrix	Matrix.times(double s)	Multiply a matrix by a scalar, C = s*A
Matrix	Matrix.times(Matrix B)	Linear algebraic matrix multiplication, A * B
Matrix	Matrix.timesEquals(double s)	Multiply a matrix by a scalar in place, A = s*A
Matrix	Matrix.transpose()	Matrix transpose.
Matrix	Matrix.uminus()	Unary minus

Methods in edu.claflin.finder.algo.clustering.struct.leading_eigenvector_struct with parameters of type Matrix

Modifier and Type	Method	Description
Matrix	Matrix.arrayLeftDivide(Matrix B)	Element-by-element left division, C = A.\B
Matrix	Matrix.arrayLeftDivideEquals(Matrix B)	Element-by-element left division in place, A = A.\B
Matrix	Matrix.arrayRightDivide(Matrix B)	Element-by-element right division, C = A./B
Matrix	Matrix.arrayRightDivideEquals(Matrix B)	Element-by-element right division in place, A = A./B
Matrix	Matrix.arrayTimes(Matrix B)	Element-by-element multiplication, C = A.*B
Matrix	Matrix.arrayTimesEquals(Matrix B)	Element-by-element multiplication in place, A = A.*B
private void	Matrix.checkMatrixDimensions(Matrix B)	Check if size(A) == size(B)
Matrix	Matrix.minus(Matrix B)	C = A - B
Matrix	Matrix.minusEquals(Matrix B)	A = A - B
Matrix	Matrix.plus(Matrix B)	C = A + B
Matrix	Matrix.plusEquals(Matrix B)	A = A + B
void	Matrix.setMatrix(int[] r, int[] c, Matrix X)	Set a submatrix.
void	Matrix.setMatrix(int[] r, int j0, int j1, Matrix X)	Set a submatrix.
void	Matrix.setMatrix(int i0, int i1, int[] c, Matrix X)	Set a submatrix.
void	Matrix.setMatrix(int i0, int i1, int j0, int j1, Matrix X)	Set a submatrix.
Matrix	Matrix.times(Matrix B)	Linear algebraic matrix multiplication, A * B

Constructors in edu.claflin.finder.algo.clustering.struct.leading_eigenvector_struct with parameters of type Matrix

Modifier	Constructor	Description
	EigenvalueDecomposition(Matrix Arg)	Check for symmetry, then construct the eigenvalue decomposition Structure to access D and V.