_compute_gram | spams::FISTA::SqLossMat< T > | private |
_D | spams::FISTA::SqLossMat< T > | private |
_DtX | spams::FISTA::SqLossMat< T > | private |
_G | spams::FISTA::SqLossMat< T > | private |
_x | spams::FISTA::SqLossMat< T > | private |
eval(const Matrix< T > &alpha) const | spams::FISTA::SqLossMat< T > | inlinevirtual |
fenchel(const Matrix< T > &input) const | spams::FISTA::SqLossMat< T > | inlinevirtual |
grad(const Matrix< T > &alpha, Matrix< T > &grad) const | spams::FISTA::SqLossMat< T > | inlinevirtual |
init(const Matrix< T > &x) | spams::FISTA::SqLossMat< T > | inlinevirtual |
is_fenchel() const | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inlinevirtual |
Loss() | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inline |
operator=(const SqLossMat< T > &dict) | spams::FISTA::SqLossMat< T > | private |
SqLossMat(const AbstractMatrixB< T > &D) | spams::FISTA::SqLossMat< T > | inline |
SqLossMat(const AbstractMatrixB< T > &D, const Matrix< T > &G) | spams::FISTA::SqLossMat< T > | inline |
SqLossMat(const SqLossMat< T > &dict) | spams::FISTA::SqLossMat< T > | explicitprivate |
test_backtracking(const Matrix< T > &y, const Matrix< T > &grad, const Matrix< T > &prox, const T L) const | spams::FISTA::SqLossMat< T > | inlinevirtual |
var_fenchel(const Matrix< T > &x, Matrix< T > &grad1, Matrix< T > &grad2, const bool intercept) const | spams::FISTA::SqLossMat< T > | inlinevirtual |
~Loss() | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inlinevirtual |
~SqLossMat() | spams::FISTA::SqLossMat< T > | inlinevirtual |