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◆ CsxDs()
| Sub CsxDs |
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N As |
Long, |
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Val() As |
Double, |
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Ptr() As |
Long, |
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Ind() As |
Long, |
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D() As |
Double, |
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Optional Info As |
Long, |
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Optional Base As |
Long = -1 |
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Initialize diagonal scaling preconditioner (CSC/CSR)
- Purpose
- This routine initializes the diagonal scaling preconditioner for the coefficient matrix A of the sparse linear equations. The diagonal matrix of A is defined as the preconditioner matrix.
The output D() is used by CsxDsSolve().
- Parameters
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| [in] | N | Dimension of the matrix A. (N >= 0) (if N = 0, returns without computation) |
| [in] | Val() | Array Val(LVal - 1) (LVal >= nnz)
Values of nonzero elements of matrix A. (nnz is number of non-zero elements) |
| [in] | Ptr() | Array Ptr(LPtr - 1) (LPtr >= N + 1)
Column pointers (CSC) / row pointers (CSR) of matrix A. |
| [in] | Ind() | Array Ind(LInd - 1) (LInd >= Nnz) (Nnz is number of nonzero elements of matrix A)
Row indices (CSC) / column indices (CSR) of matrix A. |
| [out] | D() | Array D(LD - 1) (LD >= N)
Diagonal elements of preconditioner matrix M. |
| [out] | Info | (Optional)
= 0: Successful exit.
= i < 0: The (-i)-th argument is invalid.
= j > 0: j diagonal elements are zero (Returns 1 in D() for such elements). |
| [in] | Base | (Optional)
Indexing of Ptr() and Ind().
= 0: Zero-based (C style) indexing: Starting index is 0.
= 1: One-based (Fortran style) indexing: Starting index is 1.
(default: Assumes 1 if Ptr(0) = 1, 0 otherwise) |
- Example Program
- See examples of CsxDsSolve.
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