#include <PetscSolver.H>
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| PetscSolverPoisson () |
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virtual void | define (LinearOp< T > *a_operator, bool a_homogeneous=false) |
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| PetscSolverFAB () |
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BaseFab< Real > & | getRegFab (LevelData< FArrayBox > &a_fab, DataIterator &dit) |
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const BaseFab< Real > & | getRegFab (const LevelData< FArrayBox > &a_fab, DataIterator &dit) const |
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const BaseFab< Real > & | getRegFab (const LevelData< FArrayBox > &a_fab, DataIterator &a_dit, Box &a_box) const |
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void | defineData (LevelData< FArrayBox > &a_fab, const LevelData< FArrayBox > &a_phi) |
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| PetscSolver () |
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virtual | ~PetscSolver () |
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void | destroy () |
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virtual void | setHomogeneous (bool a_homogeneous) |
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virtual void | solve (T &a_phi, const T &a_rhs) |
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int | solve_private (T &a_phi, const T &a_rhs) |
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Real | computeResidual () |
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int | applyOp (T &a_phi, const T &a_rhs) |
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void | setInitialGuessNonzero (bool b=true) |
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virtual int | getNNZPerRow () const |
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virtual BaseFab< Real > & | getRegFab (T &a_fab, DataIterator &dit)=0 |
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virtual const BaseFab< Real > & | getRegFab (const T &a_fab, DataIterator &dit) const =0 |
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virtual const BaseFab< Real > & | getRegFab (const T &a_fab, DataIterator &dit, Box &a_box) const =0 |
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virtual void | defineData (T &a_data, const T &a_template)=0 |
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void | setNull (bool n=true) |
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virtual | ~LinearSolver () |
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virtual void | setConvergenceMetrics (Real a_metric, Real a_tolerance) |
| Set a convergence metric, along with solver tolerance, if desired. More...
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◆ PetscSolverPoisson()
◆ define()
Set Function F(u) = 0 and Jacobian dF(u)/du for nonlinear solves
Reimplemented from PetscSolver< T >.
◆ m_alpha
◆ m_beta
The documentation for this class was generated from the following file: