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Diffstat (limited to 'source/blender/simulation/intern/ConstrainedConjugateGradient.h')
-rw-r--r--source/blender/simulation/intern/ConstrainedConjugateGradient.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/source/blender/simulation/intern/ConstrainedConjugateGradient.h b/source/blender/simulation/intern/ConstrainedConjugateGradient.h
index c231d511733..d4d6057cd4c 100644
--- a/source/blender/simulation/intern/ConstrainedConjugateGradient.h
+++ b/source/blender/simulation/intern/ConstrainedConjugateGradient.h
@@ -167,10 +167,10 @@ struct traits<
* algorithm. The sparse matrix A must be self-adjoint. The vectors x and b can be either dense or
* sparse.
*
- * \tparam _MatrixType the type of the sparse matrix A, can be a dense or a sparse matrix.
- * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+ * \tparam _MatrixType: the type of the sparse matrix A, can be a dense or a sparse matrix.
+ * \tparam _UpLo: the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
- * \tparam _Preconditioner the type of the pre-conditioner. Default is #DiagonalPreconditioner
+ * \tparam _Preconditioner: the type of the pre-conditioner. Default is #DiagonalPreconditioner
*
* The maximal number of iterations and tolerance value can be controlled via the
* setMaxIterations() and setTolerance() methods. The defaults are the size of the problem for the