Mercurial > hg > segmenter-vamp-plugin
view armadillo-2.4.4/include/armadillo_bits/fn_trace.hpp @ 0:8b6102e2a9b0
Armadillo Library
author | maxzanoni76 <max.zanoni@eecs.qmul.ac.uk> |
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date | Wed, 11 Apr 2012 09:27:06 +0100 |
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// Copyright (C) 2008-2010 NICTA (www.nicta.com.au) // Copyright (C) 2008-2010 Conrad Sanderson // // This file is part of the Armadillo C++ library. // It is provided without any warranty of fitness // for any purpose. You can redistribute this file // and/or modify it under the terms of the GNU // Lesser General Public License (LGPL) as published // by the Free Software Foundation, either version 3 // of the License or (at your option) any later version. // (see http://www.opensource.org/licenses for more info) //! \addtogroup fn_trace //! @{ //! Immediate trace (sum of diagonal elements) of a square dense matrix template<typename T1> inline arma_warn_unused typename T1::elem_type trace(const Base<typename T1::elem_type,T1>& X) { arma_extra_debug_sigprint(); typedef typename T1::elem_type eT; const Proxy<T1> A(X.get_ref()); arma_debug_check( (A.get_n_rows() != A.get_n_cols()), "trace(): matrix must be square sized" ); const uword N = A.get_n_rows(); eT val = eT(0); for(uword i=0; i<N; ++i) { val += A.at(i,i); } return val; } template<typename T1> inline arma_warn_unused typename T1::elem_type trace(const Op<T1, op_diagmat>& X) { arma_extra_debug_sigprint(); typedef typename T1::elem_type eT; const diagmat_proxy<T1> A(X.m); const uword N = A.n_elem; eT val = eT(0); for(uword i=0; i<N; ++i) { val += A[i]; } return val; } //! speedup for trace(A*B), where the result of A*B is a square sized matrix template<typename T1, typename T2> inline arma_warn_unused typename T1::elem_type trace(const Glue<T1, T2, glue_times>& X) { arma_extra_debug_sigprint(); typedef typename T1::elem_type eT; const unwrap<T1> tmp1(X.A); const unwrap<T2> tmp2(X.B); const Mat<eT>& A = tmp1.M; const Mat<eT>& B = tmp2.M; arma_debug_assert_mul_size(A, B, "matrix multiply"); arma_debug_check( (A.n_rows != B.n_cols), "trace(): matrix must be square sized" ); const uword N1 = A.n_rows; const uword N2 = A.n_cols; eT val = eT(0); for(uword i=0; i<N1; ++i) { const eT* B_colmem = B.colptr(i); eT acc = eT(0); for(uword j=0; j<N2; ++j) { acc += A.at(i,j) * B_colmem[j]; } val += acc; } return val; } //! @}