| addSimulateToDest(const constvect whitenoise, vect outv) const | gstlrn::ASimulable | |
| addToDest(const constvect inv, vect outv) const | gstlrn::ALinearOp | |
| addToDest(const ::Eigen::VectorXd &inv, ::Eigen::VectorXd &outv) const | gstlrn::ALinearOp | |
| ALikelihood(ModelGeneric *model, const Db *db, bool reml=false) | gstlrn::ALikelihood | |
| ALikelihood(const ALikelihood &r) | gstlrn::ALikelihood | |
| ALinearOp() | gstlrn::ALinearOp | |
| ALinearOp(const ALinearOp &m)=default | gstlrn::ALinearOp | |
| ALinearOp(ALinearOp &&m)=default | gstlrn::ALinearOp | |
| AModelOptim(ModelGeneric *model=nullptr, bool verbose=false) | gstlrn::AModelOptim | |
| AModelOptim(const AModelOptim &r) | gstlrn::AModelOptim | |
| ASimulable() | gstlrn::ASimulable | |
| ASimulable(const ASimulable &m)=default | gstlrn::ASimulable | |
| ASimulable(ASimulable &&m)=default | gstlrn::ASimulable | |
| ASimulableMatrix() | gstlrn::ASimulableMatrix | |
| calculateFtLdY(const 1 &LdY) const | gstlrn::Vecchia | |
| calculateLdY(const 1 &Y) const | gstlrn::Vecchia | |
| calculateW(const 1 &D_dd) const | gstlrn::Vecchia | |
| computeAndGetY() | gstlrn::Vecchia | |
| computeCost(bool flagPrint=false, bool verbose=false) override | gstlrn::ALikelihood | virtual |
| computeLogDet(Id nMC=1) const override | gstlrn::ALikelihood | virtual |
| computeLogLikelihood(bool flagPrint=false, bool verbose=false) | gstlrn::ALikelihood | |
| computeLower(const MatrixT< Id > &Ranks, bool verbose=false) | gstlrn::Vecchia | |
| createForOptim(ModelGeneric *model, const Db *db1, Id nb_vecchia=30, bool reml=false, bool verbose=false) | gstlrn::Vecchia | static |
| eval(const 1 &x) | gstlrn::AModelOptim | |
| evalDirect(const 1 &inv, 1 &outv) const | gstlrn::ALinearOp | |
| evalDirect(const 1 &in) const | gstlrn::ALinearOp | |
| evalDirect(constvect inv, vect outv) const | gstlrn::ALinearOp | |
| evalGrad(vect res) | gstlrn::AModelOptim | virtual |
| evalGradInEffectiveDimension(vect res) | gstlrn::AModelOptim | |
| evalSimulate(const 1 &whitenoise, 1 &outv) const | gstlrn::ASimulable | |
| evalSimulate(const 1 &whitenoise) const | gstlrn::ASimulable | |
| evalSimulate(const constvect whitenoise, vect result) const | gstlrn::ASimulable | |
| getAuthorizedAnalyticalGradients() const | gstlrn::AModelOptim | |
| getBeta() const | gstlrn::ALikelihood | inline |
| getDFull() const | gstlrn::Vecchia | inline |
| getLFull() const | gstlrn::Vecchia | inline |
| getLFull(Id i, Id j) const | gstlrn::Vecchia | inline |
| getND() const | gstlrn::Vecchia | inline |
| getNonZeros() const | gstlrn::Vecchia | inline |
| getNT() const | gstlrn::Vecchia | inline |
| getParams() const | gstlrn::AModelOptim | inline |
| getQMat() const override | gstlrn::Vecchia | virtual |
| getSize() const override | gstlrn::ALikelihood | virtual |
| getY() const | gstlrn::Vecchia | inline |
| initLikelihood(bool verbose=false) | gstlrn::ALikelihood | |
| multiplyByValueAndAddDiagonal(double v1=1., double v2=0.) const | gstlrn::ALinearOp | virtual |
| operator=(const Vecchia &r) | gstlrn::Vecchia | |
| gstlrn::ALikelihood::operator=(const ALikelihood &r) | gstlrn::ALikelihood | |
| gstlrn::AModelOptim::operator=(const AModelOptim &r) | gstlrn::AModelOptim | |
| gstlrn::ASimulableMatrix::operator=(const ASimulable &m)=default | gstlrn::ASimulable | |
| gstlrn::ASimulableMatrix::operator=(ASimulable &&m)=default | gstlrn::ASimulable | |
| gstlrn::ALinearOp::operator=(const ALinearOp &m)=default | gstlrn::ALinearOp | |
| gstlrn::ALinearOp::operator=(ALinearOp &&m)=default | gstlrn::ALinearOp | |
| productMatVecchia(const MatrixDense &X, MatrixDense &resmat) const | gstlrn::Vecchia | |
| productVecchia(constvect Y, vect res) const | gstlrn::Vecchia | |
| resetIter() | gstlrn::AModelOptim | |
| resetModif() const | gstlrn::ALinearOp | virtual |
| run() | gstlrn::AModelOptim | |
| setAuthorizedAnalyticalGradients(bool authorized) | gstlrn::AModelOptim | |
| setEnvironment(const MatrixSymmetric &vars, double href, double epsilon=EPSILON6, double min=0., double max=INF) | gstlrn::AModelOptim | |
| setGradients(std::vector< std::function< double(const 1 &)> > &gradients) | gstlrn::AModelOptim | |
| setUseFactor(bool usefactor) | gstlrn::ALinearOp | inline |
| setVerbose(bool verbose=false, bool trace=false) | gstlrn::AModelOptim | |
| simulate() const | gstlrn::ASimulable | |
| updateModel(bool verbose=false) | gstlrn::ALikelihood | |
| Vecchia(ModelGeneric *model, Id nb_vecchia, const Db *db1, const Db *db2=nullptr, bool reml=false, bool verbose=false) | gstlrn::Vecchia | |
| Vecchia(const Vecchia &r) | gstlrn::Vecchia | |
| ~ALikelihood() | gstlrn::ALikelihood | virtual |
| ~ALinearOp()=default | gstlrn::ALinearOp | virtual |
| ~AModelOptim() | gstlrn::AModelOptim | virtual |
| ~ASimulable()=default | gstlrn::ASimulable | virtual |
| ~ASimulableMatrix() | gstlrn::ASimulableMatrix | virtual |
| ~Vecchia() | gstlrn::Vecchia | virtual |
1.9.8