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Doc: add link to doc of sparse solver concept
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@@ -119,6 +119,8 @@ struct traits<LeastSquaresConjugateGradient<_MatrixType,_Preconditioner> >
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* \tparam _MatrixType the type of the matrix A, can be a dense or a sparse matrix.
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* \tparam _Preconditioner the type of the preconditioner. Default is LeastSquareDiagonalPreconditioner
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*
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* \implsparsesolverconcept
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*
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* The maximal number of iterations and tolerance value can be controlled via the setMaxIterations()
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* and setTolerance() methods. The defaults are the size of the problem for the maximal number of iterations
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* and NumTraits<Scalar>::epsilon() for the tolerance.
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