Uses of Class
ij3d.Jama.Matrix

Packages that use Matrix
ij3d.geom   
ij3d.Jama   
 

Uses of Matrix in ij3d.geom
 

Methods in ij3d.geom that return Matrix
 Matrix Object3D.getMatrixAxes()
          Gets the main axes vectors as a matrix
 

Methods in ij3d.geom with parameters of type Matrix
 void ObjectCreator3D.createEllipsoidAxes(int centerx, int centery, int centerz, double rx, double ry, double rz, float value, Matrix M, boolean gauss)
          Creation d'une ellipsoide
 

Uses of Matrix in ij3d.Jama
 

Methods in ij3d.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 EigenvalueDecomposition.getD()
          Return the block diagonal eigenvalue matrix
 Matrix QRDecomposition.getH()
          Return the Householder vectors
 Matrix CholeskyDecomposition.getL()
          Return triangular factor.
 Matrix LUDecomposition.getL()
          Return lower triangular factor
 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 QRDecomposition.getQ()
          Generate and return the (economy-sized) orthogonal factor
 Matrix QRDecomposition.getR()
          Return the upper triangular factor
 Matrix SingularValueDecomposition.getS()
          Return the diagonal matrix of singular values
 Matrix LUDecomposition.getU()
          Return upper triangular factor
 Matrix SingularValueDecomposition.getU()
          Return the left singular vectors
 Matrix EigenvalueDecomposition.getV()
          Return the eigenvector matrix
 Matrix SingularValueDecomposition.getV()
          Return the right singular vectors
static Matrix Matrix.identity(int m, int n)
          Generate identity matrix
 Matrix Matrix.inverse()
          Matrix inverse or pseudoinverse
 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 CholeskyDecomposition.solve(Matrix B)
          Solve A*X = B
 Matrix LUDecomposition.solve(Matrix B)
          Solve A*X = B
 Matrix Matrix.solve(Matrix B)
          Solve A*X = B
 Matrix QRDecomposition.solve(Matrix B)
          Least squares solution of A*X = B
 Matrix Matrix.solveTranspose(Matrix B)
          Solve X*A = B, which is also A'*X' = B'
 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 ij3d.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.
 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 CholeskyDecomposition.solve(Matrix B)
          Solve A*X = B
 Matrix LUDecomposition.solve(Matrix B)
          Solve A*X = B
 Matrix Matrix.solve(Matrix B)
          Solve A*X = B
 Matrix QRDecomposition.solve(Matrix B)
          Least squares solution of A*X = B
 Matrix 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 ij3d.Jama with parameters of type Matrix
CholeskyDecomposition(Matrix Arg)
          Cholesky algorithm for symmetric and positive definite matrix.
EigenvalueDecomposition(Matrix Arg)
          Check for symmetry, then construct the eigenvalue decomposition
LUDecomposition(Matrix A)
          LU Decomposition
QRDecomposition(Matrix A)
          QR Decomposition, computed by Householder reflections.
SingularValueDecomposition(Matrix Arg)
          Construct the singular value decomposition