# 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.