Definition in file scalarMatrices.H.
#include "src/OpenFOAM/matrices/RectangularMatrix/RectangularMatrix.H"#include "src/OpenFOAM/matrices/SquareMatrix/SquareMatrix.H"#include "src/OpenFOAM/matrices/DiagonalMatrix/DiagonalMatrix.H"#include "src/OpenFOAM/fields/Fields/scalarField/scalarField.H"#include "src/OpenFOAM/primitives/Lists/labelList.H"
Include dependency graph for scalarMatrices.H:Go to the source code of this file.
Namespaces | |
| namespace | Foam |
Namespace for OpenFOAM. | |
Typedefs | |
| typedef RectangularMatrix< scalar > | scalarRectangularMatrix |
| typedef SquareMatrix< scalar > | scalarSquareMatrix |
| typedef DiagonalMatrix< scalar > | scalarDiagonalMatrix |
Functions | |
| template<class Type > | |
| void | solve (scalarSquareMatrix &matrix, Field< Type > &source) |
| Solve the matrix using Gaussian elimination with pivoting,.
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| template<class Type > | |
| void | solve (Field< Type > &psi, const scalarSquareMatrix &matrix, const Field< Type > &source) |
| Solve the matrix using Gaussian elimination with pivoting.
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| void | LUDecompose (scalarSquareMatrix &matrix, labelList &pivotIndices) |
| LU decompose the matrix with pivoting.
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| template<class Type > | |
| void | LUBacksubstitute (const scalarSquareMatrix &luMmatrix, const labelList &pivotIndices, Field< Type > &source) |
| LU back-substitution with given source, returning the solution.
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| template<class Type > | |
| void | LUsolve (scalarSquareMatrix &matrix, Field< Type > &source) |
| Solve the matrix using LU decomposition with pivoting.
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| void | multiply (scalarRectangularMatrix &answer, const scalarRectangularMatrix &A, const scalarRectangularMatrix &B) |
| void | multiply (scalarRectangularMatrix &answer, const scalarRectangularMatrix &A, const scalarRectangularMatrix &B, const scalarRectangularMatrix &C) |
| void | multiply (scalarRectangularMatrix &answer, const scalarRectangularMatrix &A, const DiagonalMatrix< scalar > &B, const scalarRectangularMatrix &C) |
| scalarRectangularMatrix | SVDinv (const scalarRectangularMatrix &A, scalar minCondition=0) |
| Return the inverse of matrix A using SVD.
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