template<typename TLinOP>
class gstlrn::ASimulableEigenCG< TLinOP >
This class extends ASimulable to make it working with Eigen conjugate gradient algorithm.
This class is similar to ALinearOpEigenCG.
- Template Parameters
-
|
| virtual | ~ASimulableEigenCG () |
| |
| Eigen::Index | rows () const |
| |
| Eigen::Index | cols () const |
| |
| template<typename Rhs > |
| Eigen::Product< TLinOP, Rhs, Eigen::AliasFreeProduct > | operator* (const Eigen::MatrixBase< Rhs > &x) const |
| |
| | ASimulable () |
| |
| virtual | ~ASimulable () |
| |
| Id | evalSimulate (const 1 &whitenoise, 1 &outv) const |
| |
| | evalSimulate (const 1 &whitenoise) const |
| |
| | simulate () const |
| |
| virtual double | computeLogDet (Id nMC=1) const |
| |
| Id | evalSimulate (const constvect whitenoise, vect result) const |
| |
| Id | addSimulateToDest (const constvect whitenoise, vect outv) const |
| |
| | ALinearOp () |
| |
| | ALinearOp (const ALinearOp &m)=delete |
| |
| ALinearOp & | operator= (const ALinearOp &m)=delete |
| |
| virtual | ~ALinearOp () |
| |
| virtual Id | getSize () const =0 |
| |
| Id | evalDirect (const 1 &inv, 1 &outv) const |
| |
| | evalDirect (const 1 &in) const |
| |
| virtual void | multiplyByValueAndAddDiagonal (double v1=1., double v2=0.) const |
| |
| virtual void | resetModif () const |
| |
| void | setUseFactor (bool usefactor) |
| |
| Id | evalDirect (constvect inv, vect outv) const |
| |
| Id | addToDest (const constvect inv, vect outv) const |
| |
| Id | addToDest (const ::Eigen::VectorXd &inv, ::Eigen::VectorXd &outv) const |
| |