| is_converged(std::function< bool(t_Vector const &x)> const &func) | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| l2_gradient() | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| l2_proximal() | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| l2_proximal_weighted() | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| L2ForwardBackward(Eigen::MatrixBase< DERIVED > const &target) | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| objective_convergence(Real const &tolerance) | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| objmin() const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()(t_Vector &out) const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()(t_Vector &out, std::tuple< t_Vector, t_Vector > const &guess) const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()(t_Vector &out, std::tuple< t_Vector const &, t_Vector const & > const &guess) const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()(std::tuple< t_Vector, t_Vector > const &guess) const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()(std::tuple< t_Vector const &, t_Vector const & > const &guess) const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()() const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| operator()(DiagnosticAndResult const &warmstart) const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| Phi(ARGS &&... args) | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| Real typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| residual_convergence(Real const &tolerance) | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| Scalar typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(l2_proximal, t_Proximal< Real >) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(l2_proximal_weighted, t_Proximal< Vector< Real >>) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(l2_proximal_weights, Vector< Real >) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(l2_gradient, t_Gradient) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(tight_frame, bool) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(residual_tolerance, Real) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(relative_variation, Real) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(residual_convergence, t_IsConverged) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(objective_convergence, t_IsConverged) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(itermax, t_uint) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(regulariser_strength, Real) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(step_size, Real) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(sigma, Real) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(is_converged, t_IsConverged) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| SOPT_MACRO(Phi, t_LinearTransform) | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| t_Gradient typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| t_IsConverged typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| t_LinearTransform typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| t_Proximal typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| t_Vector typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| target() const | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| target(Eigen::MatrixBase< DERIVED > const &target) | sopt::algorithm::L2ForwardBackward< SCALAR > | inline |
| value_type typedef | sopt::algorithm::L2ForwardBackward< SCALAR > | |
| ~L2ForwardBackward() | sopt::algorithm::L2ForwardBackward< SCALAR > | inlinevirtual |
1.9.1