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      1 // This file is part of Eigen, a lightweight C++ template library
      2 // for linear algebra.
      3 //
      4 // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1 (at) gmail.com>
      5 //
      6 // This Source Code Form is subject to the terms of the Mozilla
      7 // Public License v. 2.0. If a copy of the MPL was not distributed
      8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
      9 
     10 #include "main.h"
     11 
     12 using namespace std;
     13 template<typename MatrixType> void permutationmatrices(const MatrixType& m)
     14 {
     15   typedef typename MatrixType::Index Index;
     16   typedef typename MatrixType::Scalar Scalar;
     17   enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime,
     18          Options = MatrixType::Options };
     19   typedef PermutationMatrix<Rows> LeftPermutationType;
     20   typedef Matrix<int, Rows, 1> LeftPermutationVectorType;
     21   typedef Map<LeftPermutationType> MapLeftPerm;
     22   typedef PermutationMatrix<Cols> RightPermutationType;
     23   typedef Matrix<int, Cols, 1> RightPermutationVectorType;
     24   typedef Map<RightPermutationType> MapRightPerm;
     25 
     26   Index rows = m.rows();
     27   Index cols = m.cols();
     28 
     29   MatrixType m_original = MatrixType::Random(rows,cols);
     30   LeftPermutationVectorType lv;
     31   randomPermutationVector(lv, rows);
     32   LeftPermutationType lp(lv);
     33   RightPermutationVectorType rv;
     34   randomPermutationVector(rv, cols);
     35   RightPermutationType rp(rv);
     36   MatrixType m_permuted = lp * m_original * rp;
     37 
     38   for (int i=0; i<rows; i++)
     39     for (int j=0; j<cols; j++)
     40         VERIFY_IS_APPROX(m_permuted(lv(i),j), m_original(i,rv(j)));
     41 
     42   Matrix<Scalar,Rows,Rows> lm(lp);
     43   Matrix<Scalar,Cols,Cols> rm(rp);
     44 
     45   VERIFY_IS_APPROX(m_permuted, lm*m_original*rm);
     46 
     47   VERIFY_IS_APPROX(lp.inverse()*m_permuted*rp.inverse(), m_original);
     48   VERIFY_IS_APPROX(lv.asPermutation().inverse()*m_permuted*rv.asPermutation().inverse(), m_original);
     49   VERIFY_IS_APPROX(MapLeftPerm(lv.data(),lv.size()).inverse()*m_permuted*MapRightPerm(rv.data(),rv.size()).inverse(), m_original);
     50 
     51   VERIFY((lp*lp.inverse()).toDenseMatrix().isIdentity());
     52   VERIFY((lv.asPermutation()*lv.asPermutation().inverse()).toDenseMatrix().isIdentity());
     53   VERIFY((MapLeftPerm(lv.data(),lv.size())*MapLeftPerm(lv.data(),lv.size()).inverse()).toDenseMatrix().isIdentity());
     54 
     55   LeftPermutationVectorType lv2;
     56   randomPermutationVector(lv2, rows);
     57   LeftPermutationType lp2(lv2);
     58   Matrix<Scalar,Rows,Rows> lm2(lp2);
     59   VERIFY_IS_APPROX((lp*lp2).toDenseMatrix().template cast<Scalar>(), lm*lm2);
     60   VERIFY_IS_APPROX((lv.asPermutation()*lv2.asPermutation()).toDenseMatrix().template cast<Scalar>(), lm*lm2);
     61   VERIFY_IS_APPROX((MapLeftPerm(lv.data(),lv.size())*MapLeftPerm(lv2.data(),lv2.size())).toDenseMatrix().template cast<Scalar>(), lm*lm2);
     62 
     63   LeftPermutationType identityp;
     64   identityp.setIdentity(rows);
     65   VERIFY_IS_APPROX(m_original, identityp*m_original);
     66 
     67   // check inplace permutations
     68   m_permuted = m_original;
     69   m_permuted = lp.inverse() * m_permuted;
     70   VERIFY_IS_APPROX(m_permuted, lp.inverse()*m_original);
     71 
     72   m_permuted = m_original;
     73   m_permuted = m_permuted * rp.inverse();
     74   VERIFY_IS_APPROX(m_permuted, m_original*rp.inverse());
     75 
     76   m_permuted = m_original;
     77   m_permuted = lp * m_permuted;
     78   VERIFY_IS_APPROX(m_permuted, lp*m_original);
     79 
     80   m_permuted = m_original;
     81   m_permuted = m_permuted * rp;
     82   VERIFY_IS_APPROX(m_permuted, m_original*rp);
     83 
     84   if(rows>1 && cols>1)
     85   {
     86     lp2 = lp;
     87     Index i = internal::random<Index>(0, rows-1);
     88     Index j;
     89     do j = internal::random<Index>(0, rows-1); while(j==i);
     90     lp2.applyTranspositionOnTheLeft(i, j);
     91     lm = lp;
     92     lm.row(i).swap(lm.row(j));
     93     VERIFY_IS_APPROX(lm, lp2.toDenseMatrix().template cast<Scalar>());
     94 
     95     RightPermutationType rp2 = rp;
     96     i = internal::random<Index>(0, cols-1);
     97     do j = internal::random<Index>(0, cols-1); while(j==i);
     98     rp2.applyTranspositionOnTheRight(i, j);
     99     rm = rp;
    100     rm.col(i).swap(rm.col(j));
    101     VERIFY_IS_APPROX(rm, rp2.toDenseMatrix().template cast<Scalar>());
    102   }
    103 }
    104 
    105 void test_permutationmatrices()
    106 {
    107   for(int i = 0; i < g_repeat; i++) {
    108     CALL_SUBTEST_1( permutationmatrices(Matrix<float, 1, 1>()) );
    109     CALL_SUBTEST_2( permutationmatrices(Matrix3f()) );
    110     CALL_SUBTEST_3( permutationmatrices(Matrix<double,3,3,RowMajor>()) );
    111     CALL_SUBTEST_4( permutationmatrices(Matrix4d()) );
    112     CALL_SUBTEST_5( permutationmatrices(Matrix<double,40,60>()) );
    113     CALL_SUBTEST_6( permutationmatrices(Matrix<double,Dynamic,Dynamic,RowMajor>(20, 30)) );
    114     CALL_SUBTEST_7( permutationmatrices(MatrixXcf(15, 10)) );
    115   }
    116 }
    117