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