📄 qr.cpp
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/*! * \file * \brief Implementation of QR factorisation functions * \author Tony Ottosson, Simon Wood and Adam Piatyszek * * ------------------------------------------------------------------------- * * IT++ - C++ library of mathematical, signal processing, speech processing, * and communications classes and functions * * Copyright (C) 1995-2008 (see AUTHORS file for a list of contributors) * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA * * ------------------------------------------------------------------------- */#ifndef _MSC_VER# include <itpp/config.h>#else# include <itpp/config_msvc.h>#endif#if defined(HAVE_LAPACK)# include <itpp/base/algebra/lapack.h>#endif#include <itpp/base/algebra/qr.h>#include <itpp/base/specmat.h>namespace itpp {#if defined(HAVE_LAPACK) bool qr(const mat &A, mat &Q, mat &R) { int info; int m = A.rows(); int n = A.cols(); int lwork = n; int k = std::min(m, n); vec tau(k); vec work(lwork); R = A; // perform workspace query for optimum lwork value int lwork_tmp = -1; dgeqrf_(&m, &n, R._data(), &m, tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(work(0)); work.set_size(lwork, false); } dgeqrf_(&m, &n, R._data(), &m, tau._data(), work._data(), &lwork, &info); Q = R; Q.set_size(m, m, true); // construct R for (int i=0; i<m; i++) for (int j=0; j<std::min(i,n); j++) R(i,j) = 0; // perform workspace query for optimum lwork value lwork_tmp = -1; dorgqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(work(0)); work.set_size(lwork, false); } dorgqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork, &info); return (info==0); } bool qr(const mat &A, mat &Q, mat &R, bmat &P) { int info; int m = A.rows(); int n = A.cols(); int lwork = n; int k = std::min(m, n); vec tau(k); vec work(lwork); ivec jpvt(n); jpvt.zeros(); R = A; // perform workspace query for optimum lwork value int lwork_tmp = -1; dgeqp3_(&m, &n, R._data(), &m, jpvt._data(), tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(work(0)); work.set_size(lwork, false); } dgeqp3_(&m, &n, R._data(), &m, jpvt._data(), tau._data(), work._data(), &lwork, &info); Q = R; Q.set_size(m, m, true); // construct permutation matrix P = zeros_b(n, n); for (int j = 0; j < n; j++) P(jpvt(j)-1, j) = 1; // construct R for (int i = 0; i < m; i++) for (int j = 0; j < std::min(i, n); j++) R(i, j) = 0; // perform workspace query for optimum lwork value lwork_tmp = -1; dorgqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(work(0)); work.set_size(lwork, false); } dorgqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork, &info); return (info==0); } bool qr(const cmat &A, cmat &Q, cmat &R) { int info; int m = A.rows(); int n = A.cols(); int lwork = n; int k = std::min(m, n); cvec tau(k); cvec work(lwork); R = A; // perform workspace query for optimum lwork value int lwork_tmp = -1; zgeqrf_(&m, &n, R._data(), &m, tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(real(work(0))); work.set_size(lwork, false); } zgeqrf_(&m, &n, R._data(), &m, tau._data(), work._data(), &lwork, &info); Q = R; Q.set_size(m, m, true); // construct R for (int i = 0; i < m; i++) for (int j = 0; j < std::min(i, n); j++) R(i, j) = 0; // perform workspace query for optimum lwork value lwork_tmp = -1; zungqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(real(work(0))); work.set_size(lwork, false); } zungqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork, &info); return (info==0); } bool qr(const cmat &A, cmat &Q, cmat &R, bmat &P) { int info; int m = A.rows(); int n = A.cols(); int lwork = n; int k = std::min(m, n); cvec tau(k); cvec work(lwork); vec rwork(std::max(1, 2*n)); ivec jpvt(n); jpvt.zeros(); R = A; // perform workspace query for optimum lwork value int lwork_tmp = -1; zgeqp3_(&m, &n, R._data(), &m, jpvt._data(), tau._data(), work._data(), &lwork_tmp, rwork._data(), &info); if (info == 0) { lwork = static_cast<int>(real(work(0))); work.set_size(lwork, false); } zgeqp3_(&m, &n, R._data(), &m, jpvt._data(), tau._data(), work._data(), &lwork, rwork._data(), &info); Q = R; Q.set_size(m, m, true); // construct permutation matrix P = zeros_b(n, n); for (int j = 0; j < n; j++) P(jpvt(j)-1, j) = 1; // construct R for (int i = 0; i < m; i++) for (int j = 0; j < std::min(i, n); j++) R(i, j) = 0; // perform workspace query for optimum lwork value lwork_tmp = -1; zungqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork_tmp, &info); if (info == 0) { lwork = static_cast<int>(real(work(0))); work.set_size(lwork, false); } zungqr_(&m, &m, &k, Q._data(), &m, tau._data(), work._data(), &lwork, &info); return (info==0); }#else bool qr(const mat &A, mat &Q, mat &R) { it_error("LAPACK library is needed to use qr() function"); return false; } bool qr(const mat &A, mat &Q, mat &R, bmat &P) { it_error("LAPACK library is needed to use qr() function"); return false; } bool qr(const cmat &A, cmat &Q, cmat &R) { it_error("LAPACK library is needed to use qr() function"); return false; } bool qr(const cmat &A, cmat &Q, cmat &R, bmat &P) { it_error("LAPACK library is needed to use qr() function"); return false; }#endif // HAVE_LAPACK} // namespace itpp
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