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authorGravatar Gael Guennebaud <g.gael@free.fr>2015-10-08 10:50:39 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2015-10-08 10:50:39 +0200
commit64242b8bf367752df4d28170cbbb6b86037ff988 (patch)
tree20d60f6db4211b7af0227058f5b5864b9a8879ec /Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
parent131db3c552304e1fa2c9438ec71a99ef32eea54e (diff)
Doc: add link to doc of sparse solver concept
Diffstat (limited to 'Eigen/src/IterativeLinearSolvers/BiCGSTAB.h')
-rw-r--r--Eigen/src/IterativeLinearSolvers/BiCGSTAB.h2
1 files changed, 2 insertions, 0 deletions
diff --git a/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h b/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
index a34ee7628..76e86a94a 100644
--- a/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
+++ b/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
@@ -132,6 +132,8 @@ struct traits<BiCGSTAB<_MatrixType,_Preconditioner> >
* \tparam _MatrixType the type of the sparse matrix A, can be a dense or a sparse matrix.
* \tparam _Preconditioner the type of the preconditioner. Default is DiagonalPreconditioner
*
+ * \implsparsesolverconcept
+ *
* 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 maximal number of iterations
* and NumTraits<Scalar>::epsilon() for the tolerance.