Fix comment typos, doubled words, grammar errors, and copy-paste mistakes

libeigen/eigen!2173

Closes #3034

Co-authored-by: Rasmus Munk Larsen <rmlarsen@gmail.com>
This commit is contained in:
Rasmus Munk Larsen
2026-02-21 14:36:21 -08:00
parent 0e424f4050
commit e6accc73ff
28 changed files with 48 additions and 48 deletions

View File

@@ -112,7 +112,7 @@ class KLU : public SparseSolverBase<KLU<MatrixType_> > {
eigen_assert(m_isInitialized && "Decomposition is not initialized.");
return m_info;
}
/** Computes the sparse Cholesky decomposition of \a matrix
/** Computes the sparse LU factorization of \a matrix
* Note that the matrix should be column-major, and in compressed format for best performance.
* \sa SparseMatrix::makeCompressed().
*/
@@ -147,7 +147,7 @@ class KLU : public SparseSolverBase<KLU<MatrixType_> > {
*/
inline const klu_common &kluCommon() const { return m_common; }
/** Provides access to the control settings array used by UmfPack.
/** Provides access to the control settings array used by KLU.
*
* If this array contains NaN's, the default values are used.
*
@@ -157,7 +157,7 @@ class KLU : public SparseSolverBase<KLU<MatrixType_> > {
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must have the same sparsity than the matrix on which the pattern anylysis has been performed.
* The given matrix must have the same sparsity as the matrix on which the pattern analysis has been performed.
*
* \sa analyzePattern(), compute()
*/