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Minor correction/clarification to LSCG solver documentation
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committed by
David Tellenbach
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@@ -113,7 +113,7 @@ struct traits<LeastSquaresConjugateGradient<MatrixType_,Preconditioner_> >
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/** \ingroup IterativeLinearSolvers_Module
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* \brief A conjugate gradient solver for sparse (or dense) least-square problems
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*
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* This class allows to solve for A x = b linear problems using an iterative conjugate gradient algorithm.
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* This class solves for the least-squares solution to A x = b using an iterative conjugate gradient algorithm.
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* The matrix A can be non symmetric and rectangular, but the matrix A' A should be positive-definite to guaranty stability.
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* Otherwise, the SparseLU or SparseQR classes might be preferable.
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* The matrix A and the vectors x and b can be either dense or sparse.
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