// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au) // Copyright 2008-2016 National ICT Australia (NICTA) // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // ------------------------------------------------------------------------ //! \addtogroup op_inv //! @{ template inline void op_inv::apply(Mat& out, const Op& X) { arma_extra_debug_sigprint(); typedef typename T1::elem_type eT; const strip_diagmat strip(X.m); bool status = false; if(strip.do_diagmat) { status = op_inv::apply_diagmat(out, strip.M); } else { const quasi_unwrap U(X.m); if(U.is_alias(out)) { Mat tmp; status = op_inv::apply_noalias(tmp, U.M); out.steal_mem(tmp); } else { status = op_inv::apply_noalias(out, U.M); } } if(status == false) { out.soft_reset(); arma_stop_runtime_error("inv(): matrix seems singular"); } } template inline bool op_inv::apply_noalias(Mat& out, const Mat& A) { arma_extra_debug_sigprint(); arma_debug_check( (A.n_rows != A.n_cols), "inv(): given matrix must be square sized" ); bool status = false; if(A.n_rows <= 4) { status = auxlib::inv_tiny(out, A); } else if(A.is_diagmat()) { return op_inv::apply_diagmat(out, A); } else { const bool is_triu = trimat_helper::is_triu(A); const bool is_tril = (is_triu) ? false : trimat_helper::is_tril(A); if(is_triu || is_tril) { const uword layout = (is_triu) ? uword(0) : uword(1); return auxlib::inv_tr(out, A, layout); } else { #if defined(ARMA_OPTIMISE_SYMPD) const bool try_sympd = sympd_helper::guess_sympd_anysize(A); #else const bool try_sympd = false; #endif if(try_sympd) { status = auxlib::inv_sympd(out, A); if(status == false) { arma_extra_debug_print("warning: sympd optimisation failed"); } } // auxlib::inv_sympd() may have failed because A isn't really sympd } } if(status == false) { status = auxlib::inv(out, A); } return status; } template inline bool op_inv::apply_diagmat(Mat& out, const T1& X) { arma_extra_debug_sigprint(); typedef typename T1::elem_type eT; const diagmat_proxy A(X); arma_debug_check( (A.n_rows != A.n_cols), "inv(): given matrix must be square sized" ); const uword N = (std::min)(A.n_rows, A.n_cols); bool status = true; if(A.is_alias(out) == false) { out.zeros(N,N); for(uword i=0; i tmp(N, N, fill::zeros); for(uword i=0; i inline void op_inv_tr::apply(Mat& out, const Op& X) { arma_extra_debug_sigprint(); const bool status = auxlib::inv_tr(out, X.m, X.aux_uword_a); if(status == false) { out.soft_reset(); arma_stop_runtime_error("inv(): matrix seems singular"); } } template inline void op_inv_sympd::apply(Mat& out, const Op& X) { arma_extra_debug_sigprint(); const bool status = auxlib::inv_sympd(out, X.m); if(status == false) { out.soft_reset(); arma_stop_runtime_error("inv_sympd(): matrix is singular or not positive definite"); } } //! @}