_losses | spams::FISTA::LossMatSup< T, L > | protected |
_m | spams::FISTA::LossMatSup< T, L > | private |
_N | spams::FISTA::LossMatSup< T, L > | protected |
dummy()=0 | spams::FISTA::LossMatSup< T, L > | pure virtual |
eval(const Matrix< T > &w) const | spams::FISTA::LossMatSup< T, L > | inlinevirtual |
fenchel(const Matrix< T > &input) const | spams::FISTA::LossMatSup< T, L > | inlinevirtual |
grad(const Matrix< T > &w, Matrix< T > &grad) const | spams::FISTA::LossMatSup< T, L > | inlinevirtual |
init(const Matrix< T > &input) | spams::FISTA::LossMatSup< T, L > | inlinevirtual |
is_fenchel() const | spams::FISTA::LossMatSup< T, L > | inlinevirtual |
Loss() | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inline |
LossMatSup() | spams::FISTA::LossMatSup< T, L > | inline |
LossMatSup(const LossMatSup< T, L > &dict) | spams::FISTA::LossMatSup< T, L > | explicitprivate |
operator=(const LossMatSup< T, L > &dict) | spams::FISTA::LossMatSup< T, L > | private |
test_backtracking(const Matrix< T > &y, const Matrix< T > &grad, const Matrix< T > &prox, const T L) const | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inlinevirtual |
var_fenchel(const Matrix< T > &x, Matrix< T > &grad1, Matrix< T > &grad2, const bool intercept) const | spams::FISTA::LossMatSup< T, L > | inlinevirtual |
~Loss() | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inlinevirtual |
~LossMatSup() | spams::FISTA::LossMatSup< T, L > | inlinevirtual |