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improve documentation of some sparse related classes
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@@ -25,7 +25,8 @@
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#ifndef EIGEN_BASIC_PRECONDITIONERS_H
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#define EIGEN_BASIC_PRECONDITIONERS_H
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/** \brief A preconditioner based on the digonal entries
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/** \ingroup IterativeLinearSolvers_Module
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* \brief A preconditioner based on the digonal entries
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*
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* This class allows to approximately solve for A.x = b problems assuming A is a diagonal matrix.
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* In other words, this preconditioner neglects all off diagonal entries and, in Eigen's language, solves for:
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@@ -116,7 +117,8 @@ struct solve_retval<DiagonalPreconditioner<_MatrixType>, Rhs>
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}
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/** \brief A naive preconditioner which approximates any matrix as the identity matrix
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/** \ingroup IterativeLinearSolvers_Module
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* \brief A naive preconditioner which approximates any matrix as the identity matrix
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*
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* \sa class DiagonalPreconditioner
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*/
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@@ -115,7 +115,8 @@ struct traits<BiCGSTAB<_MatrixType,_Preconditioner> >
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}
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/** \brief A bi conjugate gradient stabilized solver for sparse square problems
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/** \ingroup IterativeLinearSolvers_Module
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* \brief A bi conjugate gradient stabilized solver for sparse square problems
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*
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* This class allows to solve for A.x = b sparse linear problems using a bi conjugate gradient
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* stabilized algorithm. The vectors x and b can be either dense or sparse.
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@@ -99,7 +99,8 @@ struct traits<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner> >
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}
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/** \brief A conjugate gradient solver for sparse self-adjoint problems
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/** \ingroup IterativeLinearSolvers_Module
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* \brief A conjugate gradient solver for sparse self-adjoint problems
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*
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* This class allows to solve for A.x = b sparse linear problems using a conjugate gradient algorithm.
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* The sparse matrix A must be selfadjoint. The vectors x and b can be either dense or sparse.
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@@ -26,7 +26,8 @@
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#define EIGEN_ITERATIVE_SOLVER_BASE_H
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/** \brief Base class for linear iterative solvers
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/** \ingroup IterativeLinearSolvers_Module
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* \brief Base class for linear iterative solvers
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*
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* \sa class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
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*/
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