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PrecomputedLinearSolver

Linear system solver based on a precomputed inverse matrix

FullVector

Templates:

  • FullVector

Target: Sofa.Component.LinearSolver.Direct

namespace: sofa::component::linearsolver::direct

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 object 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
nbThreads If not yet initialized, the main task scheduler is initialized with this number of threads. 0 corresponds to the number of available cores on the CPU. -n (minus) corresponds to the number of available cores on the CPU minus the provided number. 0
taskSchedulerType Type of task scheduler to use. _default
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
factorizationInvalidation Internal data for the detection of cache invalidation of the matrix factorization 0
jmjt_twostep Use two step algorithm to compute JMinvJt 1
use_file Dump system matrix in a file 1
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 BaseComponent
master nullptr for regular objects, or master object for which this object is one sub-objects BaseComponent
linearSystem The linear system to solve TypedMatrixLinearSystem<CompressedRowSparseMatrixd>