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ShewchukPCGLinearSolver

Linear system solver using the Shewchuk conjugate gradient iterative algorithm.

GraphScattered

Templates:

  • GraphScattered

Target: Sofa.Component.LinearSolver.Iterative

namespace: sofa::component::linearsolver::iterative

parents:

  • MatrixLinearSolver

Data

Name Description Default value
name object name unnamed
printLog if true, emits extra messages at runtime. 0
tags list of the subsets the objet belongs to
bbox this object bounding box
componentState The state of the component among (Dirty, Valid, Undefined, Loading, Invalid). Undefined
listening if true, handle the events, otherwise ignore the events 0
parallelInverseProduct Parallelize the computation of the product J*M^{-1}*J^T where M is the matrix of the linear system and J is any matrix with compatible dimensions 0
iterations Maximum number of iterations after which the iterative descent of the Conjugate Gradient must stop 25
tolerance Desired accuracy of the Conjugate Gradient solution evaluating: |r|²/|b|² (ratio of current residual norm over initial residual norm) 1e-05
use_precond Use a preconditioner 1
update_step Number of steps before the next refresh of precondtioners 1
build_precond Build the preconditioners, if false build the preconditioner only at the initial step 1
graph Graph of residuals at each iteration
Name Description Destination type name
context Graph Node containing this object (or BaseContext::getDefault() if no graph is used) BaseContext
slaves Sub-objects used internally by this object BaseObject
master nullptr for regular objects, or master object for which this object is one sub-objects BaseObject
linearSystem The linear system to solve TypedMatrixLinearSystem<GraphScattered>
preconditioner Link towards the linear solver used to precondition the conjugate gradient LinearSolver