Reference documentation for deal.II version 9.4.1
\(\newcommand{\dealvcentcolon}{\mathrel{\mathop{:}}}\) \(\newcommand{\dealcoloneq}{\dealvcentcolon\mathrel{\mkern-1.2mu}=}\) \(\newcommand{\jump}[1]{\left[\!\left[ #1 \right]\!\right]}\) \(\newcommand{\average}[1]{\left\{\!\left\{ #1 \right\}\!\right\}}\)
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Public Member Functions | Public Attributes | List of all members
TrilinosWrappers::PreconditionSSOR::AdditionalData Struct Reference
Linear algebra classes | Linear algebra classes » Matrix classes » Basic matrices | Linear algebra classes » Sparsity patterns | Linear algebra classes » Vector classes | Linear algebra classes | Linear algebra classes » Matrix classes » Preconditioners and Relaxation Operators » Exceptions and assertions » TrilinosWrappers

#include <deal.II/lac/trilinos_precondition.h>

Public Member Functions

 AdditionalData (const double omega=1, const double min_diagonal=0, const unsigned int overlap=0, const unsigned int n_sweeps=1)
 

Public Attributes

double omega
 
double min_diagonal
 
unsigned int overlap
 
unsigned int n_sweeps
 

Detailed Description

Standardized data struct to pipe additional flags to the preconditioner. The parameter omega specifies the relaxation parameter in the SSOR preconditioner. The parameter min_diagonal can be used to make the application of the preconditioner also possible when some diagonal elements are zero. In a default application this would mean that we divide by zero, so by setting the parameter min_diagonal to a small nonzero value the SOR will work on a matrix that is not too far away from the one we want to treat. Finally, overlap governs the overlap of the partitions when the preconditioner runs in parallel, forming a so- called additive Schwarz preconditioner.

Definition at line 360 of file trilinos_precondition.h.

The documentation for this struct was generated from the following files:
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