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linear-solver-spec.json
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linear-solver-spec.json
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[
{
"pointer": "/",
"default": null,
"type": "object",
"optional": [
"enable_overwrite_solver",
"solver",
"precond",
"Eigen::LeastSquaresConjugateGradient",
"Eigen::DGMRES",
"Eigen::ConjugateGradient",
"Eigen::BiCGSTAB",
"Eigen::GMRES",
"Eigen::MINRES",
"Pardiso",
"Hypre",
"AMGCL"
],
"doc": "Settings for the linear solver."
},
{
"pointer": "/enable_overwrite_solver",
"default": false,
"type": "bool",
"doc": "If solver name is not present, falls back to default"
},
{
"pointer": "/solver",
"default": "",
"type": "string",
"doc": "Linear solver type.",
"options": [
"Eigen::SimplicialLDLT",
"Eigen::SparseLU",
"Eigen::CholmodSupernodalLLT",
"Eigen::UmfPackLU",
"Eigen::SuperLU",
"Eigen::PardisoLDLT",
"Eigen::PardisoLLT",
"Eigen::PardisoLU",
"Pardiso",
"Hypre",
"AMGCL",
"Eigen::LeastSquaresConjugateGradient",
"Eigen::DGMRES",
"Eigen::ConjugateGradient",
"Eigen::BiCGSTAB",
"Eigen::GMRES",
"Eigen::MINRES"
]
},
{
"pointer": "/precond",
"default": "",
"type": "string",
"doc": "Preconditioner used if using an iterative linear solver.",
"options": [
"Eigen::IdentityPreconditioner",
"Eigen::DiagonalPreconditioner",
"Eigen::IncompleteCholesky",
"Eigen::LeastSquareDiagonalPreconditioner",
"Eigen::IncompleteLUT"
]
},
{
"pointer": "/Eigen::LeastSquaresConjugateGradient",
"default": null,
"type": "object",
"optional": [
"max_iter",
"tolerance"
],
"doc": "Settings for the Eigen's Least Squares Conjugate Gradient solver."
},
{
"pointer": "/Eigen::DGMRES",
"default": null,
"type": "object",
"optional": [
"max_iter",
"tolerance"
],
"doc": "Settings for the Eigen's DGMRES solver."
},
{
"pointer": "/Eigen::ConjugateGradient",
"default": null,
"type": "object",
"optional": [
"max_iter",
"tolerance"
],
"doc": "Settings for the Eigen's Conjugate Gradient solver."
},
{
"pointer": "/Eigen::BiCGSTAB",
"default": null,
"type": "object",
"optional": [
"max_iter",
"tolerance"
],
"doc": "Settings for the Eigen's BiCGSTAB solver."
},
{
"pointer": "/Eigen::GMRES",
"default": null,
"type": "object",
"optional": [
"max_iter",
"tolerance"
],
"doc": "Settings for the Eigen's GMRES solver."
},
{
"pointer": "/Eigen::MINRES",
"default": null,
"type": "object",
"optional": [
"max_iter",
"tolerance"
],
"doc": "Settings for the Eigen's MINRES solver."
},
{
"pointer": "/Pardiso",
"default": null,
"type": "object",
"optional": [
"mtype"
],
"doc": "Settings for the Pardiso solver."
},
{
"pointer": "/Hypre",
"default": null,
"type": "object",
"optional": [
"max_iter",
"pre_max_iter",
"tolerance"
],
"doc": "Settings for the Hypre solver."
},
{
"pointer": "/AMGCL",
"default": null,
"type": "object",
"optional": [
"solver",
"precond"
],
"doc": "Settings for the AMGCL solver."
},
{
"pointer": "/Eigen::LeastSquaresConjugateGradient/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Eigen::LeastSquaresConjugateGradient/tolerance",
"default": 1e-12,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/Eigen::DGMRES/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Eigen::DGMRES/tolerance",
"default": 1e-12,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/Eigen::ConjugateGradient/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Eigen::ConjugateGradient/tolerance",
"default": 1e-12,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/Eigen::BiCGSTAB/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Eigen::BiCGSTAB/tolerance",
"default": 1e-12,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/Eigen::GMRES/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Eigen::GMRES/tolerance",
"default": 1e-12,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/Eigen::MINRES/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Eigen::MINRES/tolerance",
"default": 1e-12,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/Pardiso/mtype",
"default": 11,
"type": "int",
"options": [
1,
2,
-2,
3,
4,
-4,
6,
11,
13
],
"doc": "Matrix type."
},
{
"pointer": "/Hypre/max_iter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/Hypre/pre_max_iter",
"default": 1,
"type": "int",
"doc": "Maximum number of pre iterations."
},
{
"pointer": "/Hypre/tolerance",
"default": 1e-10,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/AMGCL/solver",
"default": null,
"type": "object",
"optional": [
"tol",
"maxiter",
"type"
],
"doc": "Solver settings for the AMGCL."
},
{
"pointer": "/AMGCL/precond",
"default": null,
"type": "object",
"optional": [
"relax",
"class",
"max_levels",
"direct_coarse",
"ncycle",
"coarsening"
],
"doc": "Preconditioner settings for the AMGCL."
},
{
"pointer": "/AMGCL/solver/maxiter",
"default": 1000,
"type": "int",
"doc": "Maximum number of iterations."
},
{
"pointer": "/AMGCL/solver/tol",
"default": 1e-10,
"type": "float",
"doc": "Convergence tolerance."
},
{
"pointer": "/AMGCL/solver/type",
"default": "cg",
"type": "string",
"doc": "Type of solver to use."
},
{
"pointer": "/AMGCL/precond/relax",
"default": null,
"type": "object",
"optional": [
"degree",
"type",
"power_iters",
"higher",
"lower",
"scale"
],
"doc": "Preconditioner settings for the AMGCL."
},
{
"pointer": "/AMGCL/precond/class",
"default": "amg",
"type": "string",
"doc": "Type of preconditioner to use."
},
{
"pointer": "/AMGCL/precond/max_levels",
"default": 6,
"type": "int",
"doc": "Maximum number of levels."
},
{
"pointer": "/AMGCL/precond/direct_coarse",
"default": false,
"type": "bool",
"doc": "Use direct solver for the coarsest level."
},
{
"pointer": "/AMGCL/precond/ncycle",
"default": 2,
"type": "int",
"doc": "Number of cycles."
},
{
"pointer": "/AMGCL/precond/coarsening",
"default": null,
"type": "object",
"optional": [
"type",
"estimate_spectral_radius",
"relax",
"aggr"
],
"doc": "Coarsening parameters."
},
{
"pointer": "/AMGCL/precond/relax/degree",
"default": 16,
"type": "int",
"doc": "Degree of the polynomial."
},
{
"pointer": "/AMGCL/precond/relax/type",
"default": "chebyshev",
"type": "string",
"doc": "Type of relaxation to use."
},
{
"pointer": "/AMGCL/precond/relax/power_iters",
"default": 100,
"type": "int",
"doc": "Number of power iterations."
},
{
"pointer": "/AMGCL/precond/relax/higher",
"default": 2,
"type": "float",
"doc": "Higher level relaxation."
},
{
"pointer": "/AMGCL/precond/relax/lower",
"default": 0.008333333333,
"type": "float",
"doc": "Lower level relaxation."
},
{
"pointer": "/AMGCL/precond/relax/scale",
"default": true,
"type": "bool",
"doc": "Scale."
},
{
"pointer": "/AMGCL/precond/coarsening/type",
"default": "smoothed_aggregation",
"type": "string",
"doc": "Coarsening type."
},
{
"pointer": "/AMGCL/precond/coarsening/estimate_spectral_radius",
"default": true,
"type": "bool",
"doc": "Should the spectral radius be estimated."
},
{
"pointer": "/AMGCL/precond/coarsening/relax",
"default": 1,
"type": "float",
"doc": "Coarsening relaxation."
},
{
"pointer": "/AMGCL/precond/coarsening/aggr",
"default": null,
"type": "object",
"optional": [
"eps_strong"
],
"doc": "Aggregation settings."
},
{
"pointer": "/AMGCL/precond/coarsening/aggr/eps_strong",
"default": 0,
"type": "float",
"doc": "Aggregation epsilon strong."
}
]