public class LowerSymmPackMatrix extends AbstractMatrix
LowerTriangPackMatrix, but
the upper triangular part is known by symmetry.Matrix.NormnumColumns, numRows| Constructor and Description |
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LowerSymmPackMatrix(int n)
Constructor for LowerSymmPackMatrix
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LowerSymmPackMatrix(Matrix A)
Constructor for LowerSymmPackMatrix
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LowerSymmPackMatrix(Matrix A,
boolean deep)
Constructor for LowerSymmPackMatrix
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| Modifier and Type | Method and Description |
|---|---|
void |
add(int row,
int column,
double value)
A(row,column) += value |
LowerSymmPackMatrix |
copy()
Creates a deep copy of the matrix
|
double |
get(int row,
int column)
Returns
A(row,column) |
double[] |
getData()
Returns the matrix contents.
|
Vector |
multAdd(double alpha,
Vector x,
Vector y)
y = alpha*A*x + y |
Matrix |
rank1(double alpha,
Vector x,
Vector y)
A = alpha*x*yT + A. |
Matrix |
rank2(double alpha,
Vector x,
Vector y)
A = alpha*x*yT + alpha*y*xT + A. |
void |
set(int row,
int column,
double value)
A(row,column) = value |
Matrix |
set(Matrix B)
A=B. |
Matrix |
solve(Matrix B,
Matrix X)
X = A\B. |
Vector |
solve(Vector b,
Vector x)
x = A\b. |
Vector |
transMultAdd(double alpha,
Vector x,
Vector y)
y = alpha*AT*x + y |
Matrix |
transpose()
Transposes the matrix in-place.
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Matrix |
transSolve(Matrix B,
Matrix X)
X = AT\B. |
Vector |
transSolve(Vector b,
Vector x)
x = AT\b. |
Matrix |
zero()
Zeros all the entries in the matrix, while preserving any underlying
structure.
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add, add, check, checkMultAdd, checkMultAdd, checkRank1, checkRank1, checkRank2, checkRank2, checkSize, checkSolve, checkSolve, checkTransABmultAdd, checkTransAmultAdd, checkTransBmultAdd, checkTransMultAdd, checkTranspose, checkTranspose, checkTransRank1, checkTransRank2, isSquare, iterator, max, max, mult, mult, mult, mult, multAdd, multAdd, multAdd, norm, norm1, normF, normInf, numColumns, numRows, rank1, rank1, rank1, rank1, rank1, rank2, rank2, rank2, scale, set, toString, transABmult, transABmult, transABmultAdd, transABmultAdd, transAmult, transAmult, transAmultAdd, transAmultAdd, transBmult, transBmult, transBmultAdd, transBmultAdd, transMult, transMult, transMultAdd, transpose, transRank1, transRank1, transRank2, transRank2public LowerSymmPackMatrix(int n)
n - Size of the matrix. Since the matrix must be square, this
equals both the number of rows and columnspublic LowerSymmPackMatrix(Matrix A)
A - Matrix to copy contents from. Only the entries of the relevant
part are copiedpublic LowerSymmPackMatrix(Matrix A, boolean deep)
A - Matrix to copy contents from. Only the entries of the relevant
part are copieddeep - True if the copy is deep, else false (giving a shallow copy).
For shallow copies, A must be a packed matrixpublic void add(int row,
int column,
double value)
MatrixA(row,column) += valueadd in interface Matrixadd in class AbstractMatrixpublic void set(int row,
int column,
double value)
MatrixA(row,column) = valueset in interface Matrixset in class AbstractMatrixpublic double get(int row,
int column)
MatrixA(row,column)get in interface Matrixget in class AbstractMatrixpublic LowerSymmPackMatrix copy()
Matrixcopy in interface Matrixcopy in class AbstractMatrixpublic Vector multAdd(double alpha, Vector x, Vector y)
Matrixy = alpha*A*x + ymultAdd in interface MatrixmultAdd in class AbstractMatrixx - Vector of size A.numColumns()y - Vector of size A.numRows()public Vector transMultAdd(double alpha, Vector x, Vector y)
Matrixy = alpha*AT*x + ytransMultAdd in interface MatrixtransMultAdd in class AbstractMatrixx - Vector of size A.numRows()y - Vector of size A.numColumns()public Matrix rank1(double alpha, Vector x, Vector y)
MatrixA = alpha*x*yT + A. The matrix must be square,
and the vectors of the same lengthrank1 in interface Matrixrank1 in class AbstractMatrixpublic Matrix rank2(double alpha, Vector x, Vector y)
MatrixA = alpha*x*yT + alpha*y*xT + A. The
matrix must be square, and the vectors of the same lengthrank2 in interface Matrixrank2 in class AbstractMatrixpublic Matrix solve(Matrix B, Matrix X)
MatrixX = A\B. Not all matrices support this operation, those that
do not throw UnsupportedOperationException. Note that it is
often more efficient to use a matrix decomposition and its associated
solversolve in interface Matrixsolve in class AbstractMatrixB - Matrix with the same number of rows as A, and the
same number of columns as XX - Matrix with a number of rows equal A.numColumns()
, and the same number of columns as Bpublic Vector solve(Vector b, Vector x)
Matrixx = A\b. Not all matrices support this operation, those that
do not throw UnsupportedOperationException. Note that it is
often more efficient to use a matrix decomposition and its associated
solversolve in interface Matrixsolve in class AbstractMatrixb - Vector of size A.numRows()x - Vector of size A.numColumns()public Matrix transSolve(Matrix B, Matrix X)
MatrixX = AT\B. Not all matrices support this
operation, those that do not throw
UnsupportedOperationException. Note that it is often more
efficient to use a matrix decomposition and its associated transpose
solvertransSolve in interface MatrixtransSolve in class AbstractMatrixB - Matrix with a number of rows equal A.numColumns()
, and the same number of columns as XX - Matrix with the same number of rows as A, and the
same number of columns as Bpublic Vector transSolve(Vector b, Vector x)
Matrixx = AT\b. Not all matrices support this
operation, those that do not throw
UnsupportedOperationException. Note that it is often more
efficient to use a matrix decomposition and its associated solvertransSolve in interface MatrixtransSolve in class AbstractMatrixb - Vector of size A.numColumns()x - Vector of size A.numRows()public Matrix transpose()
Matrixtranspose in interface Matrixtranspose in class AbstractMatrixpublic double[] getData()
public Matrix set(Matrix B)
MatrixA=B. The matrices must be of the same sizeset in interface Matrixset in class AbstractMatrixCopyright © 2015. All Rights Reserved.