| ablf | Kaskade::CUBThetaModelFunction | protected |
| aimContraction | Kaskade::CUBThetaModelFunction | protected |
| alpha | Kaskade::CUBThetaModelFunction | protected |
| compute_barrier_arg(std::vector< double > &iterate, double oC) | Kaskade::CUBThetaModelFunction | inlineprotected |
| computeblf(SLAPMatrix< double > &blf, std::vector< double > &left, std::vector< double > &right) | Kaskade::CUBThetaModelFunction | inlineprotected |
| CUBThetaModelFunction(AbstractLinearization const &linT, AbstractLinearization const &linN, std::vector< AbstractFunctionSpaceElement * > &basis, AbstractScalarProduct &scL, AbstractScalarProduct &scC, SearchSpaceCreator &sp) | Kaskade::CUBThetaModelFunction | |
| CUBThetaModelFunction(AbstractLinearization const &linT, AbstractLinearization const &linN, std::vector< AbstractFunctionSpaceElement * > &basis, AbstractScalarProduct &scL, AbstractScalarProduct &scC, AbstractTangentialSolver const *tS, SearchSpaceCreator &sp, bool useHessianAsNorm) | Kaskade::CUBThetaModelFunction | |
| debugInfo() | Kaskade::CUBThetaModelFunction | protected |
| dim() | Kaskade::CUBThetaModelFunction | inline |
| dmat typedef | Kaskade::CUBThetaModelFunction | |
| dot(std::vector< double >const &v1, std::vector< double >const &v2) | Kaskade::CUBThetaModelFunction | inlineprotected |
| dvec typedef | Kaskade::CUBThetaModelFunction | |
| eval(std::vector< double > &iterate, double oL, double oC, double g, double soscale=1.0, double foscale=1.0, double alpha=1.0) | Kaskade::CUBThetaModelFunction | inlinevirtual |
| evalModel(std::vector< double > &iterate) | Kaskade::CUBThetaModelFunction | inlinevirtual |
| evalRegModel(std::vector< double > &iterate, double omegaL) | Kaskade::CUBThetaModelFunction | inlinevirtual |
| f_to_minimize(dvec &p) | Kaskade::CUBThetaModelFunction | inline |
| fixednu | Kaskade::CUBThetaModelFunction | protected |
| gamma | Kaskade::CUBThetaModelFunction | protected |
| getMinimalCoefficients(std::vector< double > &coeff) | Kaskade::CUBThetaModelFunction | |
| gradient(dvec &p, dvec &g) | Kaskade::CUBThetaModelFunction | inlinevirtual |
| gradientcoeff | Kaskade::CUBThetaModelFunction | protected |
| HasAnalyticGradient() | Kaskade::CUBThetaModelFunction | inlinevirtual |
| HasAnalyticHessian() | Kaskade::CUBThetaModelFunction | inline |
| hessian(dvec, dmat) | Kaskade::CUBThetaModelFunction | inline |
| hessianblf | Kaskade::CUBThetaModelFunction | protected |
| lopt | Kaskade::CUBThetaModelFunction | protected |
| MatMultiply(SLAPMatrix< double > &mat, std::vector< double > &in, std::vector< double > &out) | Kaskade::CUBThetaModelFunction | inlineprotected |
| nidx | Kaskade::CUBThetaModelFunction | protected |
| normalContraction | Kaskade::CUBThetaModelFunction | protected |
| normalstep | Kaskade::CUBThetaModelFunction | protected |
| normC(std::vector< double > &coeff) | Kaskade::CUBThetaModelFunction | inline |
| normCblf | Kaskade::CUBThetaModelFunction | protected |
| normH(std::vector< double > &coeff) | Kaskade::CUBThetaModelFunction | inline |
| normHblf | Kaskade::CUBThetaModelFunction | protected |
| normL(std::vector< double > &coeff) | Kaskade::CUBThetaModelFunction | inline |
| normLblf | Kaskade::CUBThetaModelFunction | protected |
| normMblf | Kaskade::CUBThetaModelFunction | protected |
| omegaC | Kaskade::CUBThetaModelFunction | protected |
| omegaL | Kaskade::CUBThetaModelFunction | protected |
| plausibility() | Kaskade::CUBThetaModelFunction | protected |
| reparametrize(double omegaL_, double omegaC_, double gamma_, Paras p) | Kaskade::CUBThetaModelFunction | inline |
| scalef | Kaskade::CUBThetaModelFunction | protected |
| sz | Kaskade::CUBThetaModelFunction | protected |
| tangentialstep | Kaskade::CUBThetaModelFunction | protected |
| tidx0 | Kaskade::CUBThetaModelFunction | protected |
| tidx1 | Kaskade::CUBThetaModelFunction | protected |
| ValidParameters(dvec &x) | Kaskade::CUBThetaModelFunction | inlinevirtual |
| ~CUBThetaModelFunction() | Kaskade::CUBThetaModelFunction | inlinevirtual |
