Grammar fix "must has" --> "must have".

This commit is contained in:
Antonio Sanchez 2025-10-11 15:51:26 -07:00 committed by Rasmus Munk Larsen
parent 565db1c603
commit 52358cb93b
5 changed files with 18 additions and 10 deletions

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@ -182,7 +182,7 @@ class KLU : public SparseSolverBase<KLU<MatrixType_> > {
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the pattern anylysis has been performed.
* The given matrix must have the same sparsity than the matrix on which the pattern anylysis has been performed.
*
* \sa analyzePattern(), compute()
*/

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@ -157,7 +157,8 @@ class PardisoImpl : public SparseSolverBase<Derived> {
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/

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@ -416,7 +416,8 @@ class SimplicialLLT : public SimplicialCholeskyBase<SimplicialLLT<MatrixType_, U
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/
@ -504,7 +505,8 @@ class SimplicialLDLT : public SimplicialCholeskyBase<SimplicialLDLT<MatrixType_,
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/
@ -585,7 +587,8 @@ class SimplicialNonHermitianLLT
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/
@ -674,7 +677,8 @@ class SimplicialNonHermitianLDLT
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/
@ -757,7 +761,8 @@ class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<Matr
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/

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@ -487,7 +487,8 @@ class SuperLU : public SuperLUBase<MatrixType_, SuperLU<MatrixType_> > {
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/
@ -791,7 +792,8 @@ class SuperILU : public SuperLUBase<MatrixType_, SuperILU<MatrixType_> > {
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
* The given matrix must have the same sparsity than the matrix on which the symbolic decomposition has been
* performed.
*
* \sa analyzePattern()
*/

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@ -425,7 +425,7 @@ class UmfPackLU : public SparseSolverBase<UmfPackLU<MatrixType_> > {
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must has the same sparsity than the matrix on which the pattern anylysis has been performed.
* The given matrix must have the same sparsity than the matrix on which the pattern anylysis has been performed.
*
* \sa analyzePattern(), compute()
*/