| Operators |
solve_matrix — Compute the solution of a system of equations.
solve_matrix( : : MatrixLHSID, MatrixLHSType, Epsilon, MatrixRHSID : MatrixResultID)
The operator solve_matrix computes the solution of a system of linear equations or of a linear least squares problem. The input matrices MatrixLHS and MatrixRHS are defined by the matrix handles MatrixLHSID and MatrixRHSID. The number of rows of matrices MatrixLHS and MatrixRHS must be identical. The operator returns the matrix handle MatrixResultID of the matrix MatrixResult. Access to the elements of the matrix is possible e.g. with the operator get_full_matrix.
For linear equation systems, the equations
MatrixLHS * MatrixResult = MatrixRHSare solved. Therefore, the matrix MatrixLHS must be a square matrix and the parameter Epsilon must be 0. The type of the matrix MatrixLHS can be selected via the parameter MatrixLHSType. The following values are supported: 'general' for general, 'symmetric' for symmetric, 'positive_definite' for symmetric positive definite, 'tridiagonal' for tridiagonal, 'upper_triangular' for upper triangular, 'permuted_upper_triangular' for permuted upper triangular, 'lower_triangular' for lower triangular, and 'permuted_lower_triangular' for permuted lower triangular matrices.
Example:
For linear least squares problems or if Epsilon is not 0, the matrix MatrixLHS need not be a square matrix. The linear least squares problem is solved using the singular value decomposition (SVD) of the matrix MatrixLHS by minimizing
||MatrixRHS - MatrixLHS * MatrixResult||.All singular values less than the value Epsilon * the largest singular value are set to 0. For these values no internal division is done to prevent a division by zero. Also, the matrix MatrixLHS may be rank-deficient. The type of matrix must be selected via MatrixLHSType = 'general'.
Example:
Note: The relative accuracy of the floating point representation of the used data type (double) is Epsilon = 2.2204e-16.
For MatrixLHSType = 'symmetric', 'positive_definite', or 'upper_triangular' the upper triangular part of the input MatrixLHS must contain the relevant information of the matrix. The strictly lower triangular part of the matrix is not referenced. For MatrixLHSType = 'lower_triangular' the lower triangular part of the input MatrixLHS must contain the relevant information of the matrix. The strictly upper triangular part of the matrix is not referenced. For MatrixLHSType = 'tridiagonal', only the main diagonal, the superdiagonal, and the subdiagonal of the input MatrixLHS are used. The other parts of the matrix are not referenced. If the referenced part of the input MatrixLHS is not of the specified type, an exception is raised.
Matrix handle of the input matrix of the left hand side.
The type of the input matrix of the left hand side.
Default value: 'general'
List of values: 'general', 'lower_triangular', 'permuted_lower_triangular', 'permuted_upper_triangular', 'positive_definite', 'symmetric', 'tridiagonal', 'upper_triangular'
Type of solving and limitation to set singular values to be 0.
Default value: 0.0
Suggested values: 0.0, 2.2204e-16
Matrix handle of the input matrix of right hand side.
New matrix handle with the solution.
If the parameters are valid, the operator solve_matrix returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.
get_full_matrix, get_value_matrix
David Poole: “Linear Algebra: A Modern Introduction”; Thomson;
Belmont; 2006.
Gene H. Golub, Charles F. van Loan: “Matrix Computations”; The
Johns Hopkins University Press; Baltimore and London; 1996.
Foundation
| Operators |