| FV3 Bundle
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#include <DRPLanczosMinimizer.h>
| Public Member Functions | |
| const std::string | classname () const override | 
| DRPLanczosMinimizer (const eckit::Configuration &, const CostFct_ &) | |
| ~DRPLanczosMinimizer () | |
|  Public Member Functions inherited from oops::DRMinimizer< MODEL > | |
| DRMinimizer (const CostFct_ &J) | |
| ~DRMinimizer () | |
|  Public Member Functions inherited from oops::Minimizer< MODEL > | |
| Minimizer (const CostFct_ &J) | |
| virtual | ~Minimizer () | 
| ControlIncrement< MODEL > * | minimize (const eckit::Configuration &) | 
| Private Types | |
| typedef BMatrix< MODEL > | Bmat_ | 
| typedef CostFunction< MODEL > | CostFct_ | 
| typedef ControlIncrement< MODEL > | CtrlInc_ | 
| typedef HtRinvHMatrix< MODEL > | HtRinvH_ | 
| Private Member Functions | |
| double | solve (CtrlInc_ &, CtrlInc_ &, CtrlInc_ &, const Bmat_ &, const HtRinvH_ &, const double, const double, const int, const double) override | 
| Private Attributes | |
| SpectralLMP< CtrlInc_ > | lmp_ | 
| boost::ptr_vector< CtrlInc_ > | hvecs_ | 
| boost::ptr_vector< CtrlInc_ > | vvecs_ | 
| boost::ptr_vector< CtrlInc_ > | zvecs_ | 
| std::vector< double > | alphas_ | 
| std::vector< double > | betas_ | 
DRPLanczos Minimizer.
Derber-Rosati Preconditioned Lanczos solver.
This solver is the Lanczos version of the DRPCG algorithm It solves \( Ax=b\) for the particular case \( A=B^{-1}+C\), without requiring the application of \( B^{-1}\).
A must be square, symmetric, positive definite.
A preconditioner must be supplied that, given a vector q, returns an approximation to \( (AB)^{-1} q\). Possible preconditioning is detailed in S. Gurol, PhD Manuscript, 2013. Note that the traditional \( B\)-preconditioning corresponds to precond= \(I\).
On entry:
On exit, dxh will contain \( B^{-1} x\) where x is the solution. The return value is the achieved reduction in residual norm.
Iteration will stop if the maximum iteration limit "maxiter" is reached or if the residual norm reduces by a factor of "tolerance".
Each matrix must implement a method:
which applies the matrix to the first argument, and returns the matrix-vector product in the second. (Note: the const is optional, but recommended.)
Definition at line 73 of file DRPLanczosMinimizer.h.
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Definition at line 74 of file DRPLanczosMinimizer.h.
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Definition at line 75 of file DRPLanczosMinimizer.h.
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Definition at line 76 of file DRPLanczosMinimizer.h.
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Definition at line 77 of file DRPLanczosMinimizer.h.
| oops::DRPLanczosMinimizer< MODEL >::DRPLanczosMinimizer | ( | const eckit::Configuration & | conf, | 
| const CostFct_ & | J | ||
| ) | 
Definition at line 100 of file DRPLanczosMinimizer.h.
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Definition at line 82 of file DRPLanczosMinimizer.h.
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Implements oops::DRMinimizer< MODEL >.
Definition at line 80 of file DRPLanczosMinimizer.h.
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Implements oops::DRMinimizer< MODEL >.
Definition at line 108 of file DRPLanczosMinimizer.h.
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Definition at line 93 of file DRPLanczosMinimizer.h.
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Definition at line 94 of file DRPLanczosMinimizer.h.
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Definition at line 90 of file DRPLanczosMinimizer.h.
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Definition at line 88 of file DRPLanczosMinimizer.h.
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Definition at line 91 of file DRPLanczosMinimizer.h.
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Definition at line 92 of file DRPLanczosMinimizer.h.