Uses of Class
jmathlib.toolbox.jmathlib.matrix._private.Jama.Matrix

Packages that use Matrix
jmathlib.toolbox.jmathlib.matrix._private.Jama   
 

Uses of Matrix in jmathlib.toolbox.jmathlib.matrix._private.Jama
 

Methods in jmathlib.toolbox.jmathlib.matrix._private.Jama that return Matrix
 Matrix Matrix.arrayLeftDivide(Matrix B)
          Element-by-element left division, C = A.
 Matrix Matrix.arrayLeftDivideEquals(Matrix B)
          Element-by-element left division in place, A = A.
 Matrix Matrix.arrayRightDivide(Matrix B)
          Element-by-element right division, C = A.
 Matrix Matrix.arrayRightDivideEquals(Matrix B)
          Element-by-element right division in place, A = A.
 Matrix Matrix.arrayTimes(Matrix B)
          Element-by-element multiplication, C = A.
 Matrix Matrix.arrayTimesEquals(Matrix B)
          Element-by-element multiplication in place, A = A.
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 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.
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(java.io.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 jmathlib.toolbox.jmathlib.matrix._private.Jama with parameters of type Matrix
 Matrix Matrix.arrayLeftDivide(Matrix B)
          Element-by-element left division, C = A.
 Matrix Matrix.arrayLeftDivideEquals(Matrix B)
          Element-by-element left division in place, A = A.
 Matrix Matrix.arrayRightDivide(Matrix B)
          Element-by-element right division, C = A.
 Matrix Matrix.arrayRightDivideEquals(Matrix B)
          Element-by-element right division in place, A = A.
 Matrix Matrix.arrayTimes(Matrix B)
          Element-by-element multiplication, C = A.
 Matrix Matrix.arrayTimesEquals(Matrix B)
          Element-by-element multiplication in place, A = A.
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.
 double[][] QRDecomposition.solve(Matrix B)
          Solve A*X = B
 double[][] Matrix.solve(Matrix B)
          Solve A*X = B
 double[][] LUDecomposition.solve(Matrix B)
          Solve A*X = B
 double[][] Matrix.solveTranspose(Matrix B)
          Solve X*A = B, which is also A'*X' = B'
 Matrix Matrix.times(Matrix B)
          Linear algebraic matrix multiplication, A * B
 

Constructors in jmathlib.toolbox.jmathlib.matrix._private.Jama with parameters of type Matrix
CholeskyDecomposition(Matrix Arg)
           
EigenvalueDecomposition(Matrix Arg)
           
LUDecomposition(Matrix A)
           
QRDecomposition(Matrix A)
           
SingularValueDecomposition(Matrix Arg)
           
 


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