CGLinearSolver

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 accuracy of the Conjugate Gradient solution evaluating: |r|²/|b|² (ratio of current residual norm over initial residual norm)

• threshold : Minimum value of the denominator (pT A p)^ in the conjugate Gradient solution

• warmStart : Use previous solution as initial solution

• 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