ShewchukPCGLinearSolver

Context: Sofa.Component.LinearSolver.Iterative

Linear system solver using the conjugate gradient iterative algorithm

Data:

• name : object name

• printLog : if true, emits extra messages at runtime.

• 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).

• listening : if true, handle the events, otherwise ignore the events

• 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

• iterations : maximum number of iterations of the Conjugate Gradient solution

• tolerance : desired precision of the Conjugate Gradient Solution (ratio of current residual norm over initial residual norm)

• use_precond : Use preconditioner

• update_step : Number of steps before the next refresh of precondtioners

• build_precond : Build the preconditioners, if false build the preconditioner only at the initial step

• graph : Graph of residuals at each iteration

Links:

• context : Graph Node containing this object (or BaseContext::getDefault() if no graph is used

• slaves : Sub-objects used internally by this object

• master : nullptr for regular objects, or master object for which this object is one sub-objects

• linearSystem : The linear system to solve

• preconditioner : Link towards the linear solver used to precondition the conjugate gradient