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SOPT
Sparse OPTimisation
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SOPT
Sparse OPTimisation
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Inheritance diagram for IntrospectSDMM: Collaboration diagram for IntrospectSDMM:Additional Inherited Members | |
| Public Types inherited from sopt::algorithm::SDMM< Scalar > | |
| using | value_type = Scalar |
| Scalar type. More... | |
| using | Scalar = value_type |
| Scalar type. More... | |
| using | Real = typename real_type< Scalar >::type |
| Real type. More... | |
| using | t_Vector = Vector< Scalar > |
| Type of then underlying vectors. More... | |
| using | t_LinearTransform = LinearTransform< t_Vector > |
| Type of the A and A^H operations. More... | |
| using | t_Proximal = ProximalFunction< Scalar > |
| Type of the proximal functions. More... | |
| using | t_IsConverged = ConvergenceFunction< Scalar > |
| Type of the convergence function. More... | |
| Public Member Functions inherited from sopt::algorithm::SDMM< Scalar > | |
| SDMM () | |
| virtual | ~SDMM () |
| SOPT_MACRO (itermax, t_uint) | |
| Maximum number of iterations. More... | |
| SOPT_MACRO (gamma, Real) | |
| Gamma. More... | |
| SOPT_MACRO (conjugate_gradient, ConjugateGradient) | |
| Conjugate gradient. More... | |
| SOPT_MACRO (is_converged, t_IsConverged) | |
| A function verifying convergence. More... | |
| SDMM< Scalar > & | conjugate_gradient (t_uint itermax, t_real tolerance) |
| Helps setup conjugate gradient. More... | |
| auto | conjugate_gradient (T0 &&t0, T &&... args) const -> decltype(this->conjugate_gradient()(std::forward< T0 >(t0), std::forward< T >(args)...)) |
| Forwards to internal conjugage gradient object. More... | |
| SDMM< Scalar > & | append (PROXIMAL proximal, T args) |
| Appends a proximal and linear transform. More... | |
| SDMM< Scalar > & | append (PROXIMAL proximal) |
| Appends a proximal with identity as the linear transform. More... | |
| SDMM< Scalar > & | append (PROXIMAL proximal, L l, LADJOINT ladjoint) |
| Appends a proximal with the linear transform as pair of functions. More... | |
| SDMM< Scalar > & | append (PROXIMAL proximal, L l, LADJOINT ladjoint, std::array< t_int, 3 > sizes) |
| Appends a proximal with the linear transform as pair of functions. More... | |
| SDMM< Scalar > & | append (PROXIMAL proximal, L l, std::array< t_int, 3 > dsizes, LADJOINT ladjoint, std::array< t_int, 3 > isizes) |
| Appends a proximal with the linear transform as pair of functions. More... | |
| Diagnostic | operator() (t_Vector &out, t_Vector const &input) const |
| Implements SDMM. More... | |
| DiagnosticAndResult | operator() (t_Vector const &input) const |
| DiagnosticAndResult | operator() (DiagnosticAndResult const &warmstart) const |
| Makes it simple to chain different calls to SDMM. More... | |
| std::vector< t_LinearTransform > const & | transforms () const |
| Linear transforms associated with each objective function. More... | |
| std::vector< t_LinearTransform > & | transforms () |
| Linear transforms associated with each objective function. More... | |
| t_LinearTransform const & | transforms (t_uint i) const |
| Linear transform associated with a given objective function. More... | |
| t_LinearTransform & | transforms (t_uint i) |
| Linear transform associated with a given objective function. More... | |
| std::vector< t_Proximal > const & | proximals () const |
| Proximal of each objective function. More... | |
| std::vector< t_Proximal > & | proximals () |
| Linear transforms associated with each objective function. More... | |
| t_Proximal const & | proximals (t_uint i) const |
| Proximal associated with a given objective function. More... | |
| t_Proximal & | proximals (t_uint i) |
| Proximal associated with a given objective function. More... | |
| proximal::ProximalExpression< t_Proximal const &, T0 > | proximals (t_uint i, Eigen::MatrixBase< T0 > const &x) const |
| Lazy call to specific proximal function. More... | |
| t_uint | size () const |
| Number of terms. More... | |
| bool | is_converged (t_Vector const &x) const |
| Forwards to convergence function parameter. More... | |
1.9.1
