293 lines
12 KiB
C++
293 lines
12 KiB
C++
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// This file is triangularView of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifdef EIGEN_TEST_PART_100
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# define EIGEN_NO_DEPRECATED_WARNING
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#endif
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#include "main.h"
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template<typename MatrixType> void triangular_deprecated(const MatrixType &m)
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{
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Index rows = m.rows();
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Index cols = m.cols();
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MatrixType m1, m2, m3, m4;
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m1.setRandom(rows,cols);
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m2.setRandom(rows,cols);
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m3 = m1; m4 = m2;
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// deprecated method:
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m1.template triangularView<Eigen::Upper>().swap(m2);
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// use this method instead:
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m3.template triangularView<Eigen::Upper>().swap(m4.template triangularView<Eigen::Upper>());
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VERIFY_IS_APPROX(m1,m3);
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VERIFY_IS_APPROX(m2,m4);
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// deprecated method:
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m1.template triangularView<Eigen::Lower>().swap(m4);
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// use this method instead:
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m3.template triangularView<Eigen::Lower>().swap(m2.template triangularView<Eigen::Lower>());
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VERIFY_IS_APPROX(m1,m3);
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VERIFY_IS_APPROX(m2,m4);
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}
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template<typename MatrixType> void triangular_square(const MatrixType& m)
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{
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typedef typename MatrixType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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RealScalar largerEps = 10*test_precision<RealScalar>();
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Index rows = m.rows();
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Index cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols),
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m3(rows, cols),
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m4(rows, cols),
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r1(rows, cols),
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r2(rows, cols);
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VectorType v2 = VectorType::Random(rows);
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MatrixType m1up = m1.template triangularView<Upper>();
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MatrixType m2up = m2.template triangularView<Upper>();
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if (rows*cols>1)
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{
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VERIFY(m1up.isUpperTriangular());
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VERIFY(m2up.transpose().isLowerTriangular());
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VERIFY(!m2.isLowerTriangular());
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}
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// VERIFY_IS_APPROX(m1up.transpose() * m2, m1.upper().transpose().lower() * m2);
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// test overloaded operator+=
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r1.setZero();
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r2.setZero();
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r1.template triangularView<Upper>() += m1;
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r2 += m1up;
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VERIFY_IS_APPROX(r1,r2);
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// test overloaded operator=
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m1.setZero();
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m1.template triangularView<Upper>() = m2.transpose() + m2;
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m3 = m2.transpose() + m2;
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VERIFY_IS_APPROX(m3.template triangularView<Lower>().transpose().toDenseMatrix(), m1);
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// test overloaded operator=
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m1.setZero();
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m1.template triangularView<Lower>() = m2.transpose() + m2;
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VERIFY_IS_APPROX(m3.template triangularView<Lower>().toDenseMatrix(), m1);
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VERIFY_IS_APPROX(m3.template triangularView<Lower>().conjugate().toDenseMatrix(),
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m3.conjugate().template triangularView<Lower>().toDenseMatrix());
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m1 = MatrixType::Random(rows, cols);
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for (int i=0; i<rows; ++i)
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while (numext::abs2(m1(i,i))<RealScalar(1e-1)) m1(i,i) = internal::random<Scalar>();
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Transpose<MatrixType> trm4(m4);
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// test back and forward substitution with a vector as the rhs
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m3 = m1.template triangularView<Upper>();
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VERIFY(v2.isApprox(m3.adjoint() * (m1.adjoint().template triangularView<Lower>().solve(v2)), largerEps));
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m3 = m1.template triangularView<Lower>();
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VERIFY(v2.isApprox(m3.transpose() * (m1.transpose().template triangularView<Upper>().solve(v2)), largerEps));
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m3 = m1.template triangularView<Upper>();
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VERIFY(v2.isApprox(m3 * (m1.template triangularView<Upper>().solve(v2)), largerEps));
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m3 = m1.template triangularView<Lower>();
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VERIFY(v2.isApprox(m3.conjugate() * (m1.conjugate().template triangularView<Lower>().solve(v2)), largerEps));
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// test back and forward substitution with a matrix as the rhs
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m3 = m1.template triangularView<Upper>();
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VERIFY(m2.isApprox(m3.adjoint() * (m1.adjoint().template triangularView<Lower>().solve(m2)), largerEps));
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m3 = m1.template triangularView<Lower>();
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VERIFY(m2.isApprox(m3.transpose() * (m1.transpose().template triangularView<Upper>().solve(m2)), largerEps));
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m3 = m1.template triangularView<Upper>();
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VERIFY(m2.isApprox(m3 * (m1.template triangularView<Upper>().solve(m2)), largerEps));
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m3 = m1.template triangularView<Lower>();
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VERIFY(m2.isApprox(m3.conjugate() * (m1.conjugate().template triangularView<Lower>().solve(m2)), largerEps));
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// check M * inv(L) using in place API
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m4 = m3;
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m1.transpose().template triangularView<Eigen::Upper>().solveInPlace(trm4);
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VERIFY_IS_APPROX(m4 * m1.template triangularView<Eigen::Lower>(), m3);
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// check M * inv(U) using in place API
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m3 = m1.template triangularView<Upper>();
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m4 = m3;
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m3.transpose().template triangularView<Eigen::Lower>().solveInPlace(trm4);
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VERIFY_IS_APPROX(m4 * m1.template triangularView<Eigen::Upper>(), m3);
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// check solve with unit diagonal
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m3 = m1.template triangularView<UnitUpper>();
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VERIFY(m2.isApprox(m3 * (m1.template triangularView<UnitUpper>().solve(m2)), largerEps));
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// VERIFY(( m1.template triangularView<Upper>()
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// * m2.template triangularView<Upper>()).isUpperTriangular());
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// test swap
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m1.setOnes();
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m2.setZero();
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m2.template triangularView<Upper>().swap(m1.template triangularView<Eigen::Upper>());
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m3.setZero();
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m3.template triangularView<Upper>().setOnes();
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VERIFY_IS_APPROX(m2,m3);
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VERIFY_RAISES_STATIC_ASSERT(m1.template triangularView<Eigen::Lower>().swap(m2.template triangularView<Eigen::Upper>()));
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m1.setRandom();
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m3 = m1.template triangularView<Upper>();
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Matrix<Scalar, MatrixType::ColsAtCompileTime, Dynamic> m5(cols, internal::random<int>(1,20)); m5.setRandom();
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Matrix<Scalar, Dynamic, MatrixType::RowsAtCompileTime> m6(internal::random<int>(1,20), rows); m6.setRandom();
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VERIFY_IS_APPROX(m1.template triangularView<Upper>() * m5, m3*m5);
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VERIFY_IS_APPROX(m6*m1.template triangularView<Upper>(), m6*m3);
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m1up = m1.template triangularView<Upper>();
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VERIFY_IS_APPROX(m1.template selfadjointView<Upper>().template triangularView<Upper>().toDenseMatrix(), m1up);
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VERIFY_IS_APPROX(m1up.template selfadjointView<Upper>().template triangularView<Upper>().toDenseMatrix(), m1up);
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VERIFY_IS_APPROX(m1.template selfadjointView<Upper>().template triangularView<Lower>().toDenseMatrix(), m1up.adjoint());
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VERIFY_IS_APPROX(m1up.template selfadjointView<Upper>().template triangularView<Lower>().toDenseMatrix(), m1up.adjoint());
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VERIFY_IS_APPROX(m1.template selfadjointView<Upper>().diagonal(), m1.diagonal());
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m3.setRandom();
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const MatrixType& m3c(m3);
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VERIFY( is_same_type(m3c.template triangularView<Lower>(),m3.template triangularView<Lower>().template conjugateIf<false>()) );
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VERIFY( is_same_type(m3c.template triangularView<Lower>().conjugate(),m3.template triangularView<Lower>().template conjugateIf<true>()) );
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VERIFY_IS_APPROX(m3.template triangularView<Lower>().template conjugateIf<true>().toDenseMatrix(),
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m3.conjugate().template triangularView<Lower>().toDenseMatrix());
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VERIFY_IS_APPROX(m3.template triangularView<Lower>().template conjugateIf<false>().toDenseMatrix(),
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m3.template triangularView<Lower>().toDenseMatrix());
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VERIFY( is_same_type(m3c.template selfadjointView<Lower>(),m3.template selfadjointView<Lower>().template conjugateIf<false>()) );
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VERIFY( is_same_type(m3c.template selfadjointView<Lower>().conjugate(),m3.template selfadjointView<Lower>().template conjugateIf<true>()) );
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VERIFY_IS_APPROX(m3.template selfadjointView<Lower>().template conjugateIf<true>().toDenseMatrix(),
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m3.conjugate().template selfadjointView<Lower>().toDenseMatrix());
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VERIFY_IS_APPROX(m3.template selfadjointView<Lower>().template conjugateIf<false>().toDenseMatrix(),
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m3.template selfadjointView<Lower>().toDenseMatrix());
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}
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template<typename MatrixType> void triangular_rect(const MatrixType& m)
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{
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typedef typename MatrixType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime };
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Index rows = m.rows();
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Index cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols),
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m3(rows, cols),
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m4(rows, cols),
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r1(rows, cols),
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r2(rows, cols);
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MatrixType m1up = m1.template triangularView<Upper>();
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MatrixType m2up = m2.template triangularView<Upper>();
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if (rows>1 && cols>1)
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{
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VERIFY(m1up.isUpperTriangular());
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VERIFY(m2up.transpose().isLowerTriangular());
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VERIFY(!m2.isLowerTriangular());
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}
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// test overloaded operator+=
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r1.setZero();
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r2.setZero();
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r1.template triangularView<Upper>() += m1;
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r2 += m1up;
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VERIFY_IS_APPROX(r1,r2);
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// test overloaded operator=
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m1.setZero();
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m1.template triangularView<Upper>() = 3 * m2;
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m3 = 3 * m2;
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VERIFY_IS_APPROX(m3.template triangularView<Upper>().toDenseMatrix(), m1);
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m1.setZero();
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m1.template triangularView<Lower>() = 3 * m2;
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VERIFY_IS_APPROX(m3.template triangularView<Lower>().toDenseMatrix(), m1);
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m1.setZero();
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m1.template triangularView<StrictlyUpper>() = 3 * m2;
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VERIFY_IS_APPROX(m3.template triangularView<StrictlyUpper>().toDenseMatrix(), m1);
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m1.setZero();
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m1.template triangularView<StrictlyLower>() = 3 * m2;
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VERIFY_IS_APPROX(m3.template triangularView<StrictlyLower>().toDenseMatrix(), m1);
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m1.setRandom();
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m2 = m1.template triangularView<Upper>();
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VERIFY(m2.isUpperTriangular());
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VERIFY(!m2.isLowerTriangular());
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m2 = m1.template triangularView<StrictlyUpper>();
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VERIFY(m2.isUpperTriangular());
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VERIFY(m2.diagonal().isMuchSmallerThan(RealScalar(1)));
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m2 = m1.template triangularView<UnitUpper>();
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VERIFY(m2.isUpperTriangular());
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m2.diagonal().array() -= Scalar(1);
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VERIFY(m2.diagonal().isMuchSmallerThan(RealScalar(1)));
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m2 = m1.template triangularView<Lower>();
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VERIFY(m2.isLowerTriangular());
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VERIFY(!m2.isUpperTriangular());
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m2 = m1.template triangularView<StrictlyLower>();
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VERIFY(m2.isLowerTriangular());
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VERIFY(m2.diagonal().isMuchSmallerThan(RealScalar(1)));
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m2 = m1.template triangularView<UnitLower>();
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VERIFY(m2.isLowerTriangular());
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m2.diagonal().array() -= Scalar(1);
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VERIFY(m2.diagonal().isMuchSmallerThan(RealScalar(1)));
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// test swap
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m1.setOnes();
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m2.setZero();
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m2.template triangularView<Upper>().swap(m1.template triangularView<Eigen::Upper>());
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m3.setZero();
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m3.template triangularView<Upper>().setOnes();
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VERIFY_IS_APPROX(m2,m3);
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}
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void bug_159()
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{
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Matrix3d m = Matrix3d::Random().triangularView<Lower>();
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EIGEN_UNUSED_VARIABLE(m)
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}
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EIGEN_DECLARE_TEST(triangular)
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{
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int maxsize = (std::min)(EIGEN_TEST_MAX_SIZE,20);
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for(int i = 0; i < g_repeat ; i++)
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{
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int r = internal::random<int>(2,maxsize); TEST_SET_BUT_UNUSED_VARIABLE(r)
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int c = internal::random<int>(2,maxsize); TEST_SET_BUT_UNUSED_VARIABLE(c)
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CALL_SUBTEST_1( triangular_square(Matrix<float, 1, 1>()) );
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CALL_SUBTEST_2( triangular_square(Matrix<float, 2, 2>()) );
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CALL_SUBTEST_3( triangular_square(Matrix3d()) );
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CALL_SUBTEST_4( triangular_square(Matrix<std::complex<float>,8, 8>()) );
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CALL_SUBTEST_5( triangular_square(MatrixXcd(r,r)) );
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CALL_SUBTEST_6( triangular_square(Matrix<float,Dynamic,Dynamic,RowMajor>(r, r)) );
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CALL_SUBTEST_7( triangular_rect(Matrix<float, 4, 5>()) );
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CALL_SUBTEST_8( triangular_rect(Matrix<double, 6, 2>()) );
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CALL_SUBTEST_9( triangular_rect(MatrixXcf(r, c)) );
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CALL_SUBTEST_5( triangular_rect(MatrixXcd(r, c)) );
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CALL_SUBTEST_6( triangular_rect(Matrix<float,Dynamic,Dynamic,RowMajor>(r, c)) );
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CALL_SUBTEST_100( triangular_deprecated(Matrix<float, 5, 7>()) );
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CALL_SUBTEST_100( triangular_deprecated(MatrixXd(r,c)) );
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}
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CALL_SUBTEST_1( bug_159() );
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}
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