Implements an iterative solver automatically choosing appropriate algorithm based on matrix criteria.
#include <TAutoSolver.hh>
Inheritance diagram for TAutoSolver:
Public Member Functions | |
| TAutoSolver (const uint max_iter=100, const real abs_res_red=real(1e-8), const real rel_res_red=real(1e-8), const real rel_res_growth=real(1e6)) | |
| construct auto solver object with corresponding stop criteria | |
| virtual void | solve (const TLinearOperator *A, TVector *x, const TVector *b, const TLinearOperator *W=NULL, TInfo *data=NULL) const |
| solve A·x = b with optional preconditioner W | |
 Public Member Functions inherited from TSolver | |
| TSolver (const uint max_iter=100, const real abs_res_red=real(1e-8), const real rel_res_red=real(1e-8), const real rel_res_growth=real(1e6)) | |
| construct Richardson solver object with corresponding stop criteria | |
| virtual | ~TSolver () |
| dtor | |
| virtual void | set_stop_crit (const uint max_iter=100, const real abs_res_red=real(1e-8), const real rel_res_red=real(1e-8), const real rel_res_growth=real(1e6)) |
| set stop criterion | |
| virtual bool | stop (const uint it, const real norm, const real norm0, TInfo *info) const |
| return true if stop condition is met | |
Additional Inherited Members | |
| Protected Attributes inherited from TSolver | |
| uint | _max_iter |
| maximal number of iterations | |
| real | _abs_res_reduct |
| absolute reduction of residual norm | |
| real | _rel_res_reduct |
| relative reduction of residual norm compared to start residual | |
| real | _rel_res_growth |
| maximal relative growth of residual norm compared to start residual | |
