mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-27 07:29:52 +08:00
221 lines
8.2 KiB
C++
221 lines
8.2 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// Copyright (C) 2011 Kolja Brix <brix@igpm.rwth-aachen.de>
|
|
// Copyright (C) 2011 Andreas Platen <andiplaten@gmx.de>
|
|
// Copyright (C) 2012 Chen-Pang He <jdh8@ms63.hinet.net>
|
|
//
|
|
// This Source Code Form is subject to the terms of the Mozilla
|
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
|
|
|
|
|
#include "sparse.h"
|
|
#include <Eigen/SparseExtra>
|
|
#include <Eigen/KroneckerProduct>
|
|
|
|
|
|
template<typename MatrixType>
|
|
void check_dimension(const MatrixType& ab, const int rows, const int cols)
|
|
{
|
|
VERIFY_IS_EQUAL(ab.rows(), rows);
|
|
VERIFY_IS_EQUAL(ab.cols(), cols);
|
|
}
|
|
|
|
|
|
template<typename MatrixType>
|
|
void check_kronecker_product(const MatrixType& ab)
|
|
{
|
|
VERIFY_IS_EQUAL(ab.rows(), 6);
|
|
VERIFY_IS_EQUAL(ab.cols(), 6);
|
|
VERIFY_IS_EQUAL(ab.nonZeros(), 36);
|
|
VERIFY_IS_APPROX(ab.coeff(0,0), -0.4017367630386106);
|
|
VERIFY_IS_APPROX(ab.coeff(0,1), 0.1056863433932735);
|
|
VERIFY_IS_APPROX(ab.coeff(0,2), -0.7255206194554212);
|
|
VERIFY_IS_APPROX(ab.coeff(0,3), 0.1908653336744706);
|
|
VERIFY_IS_APPROX(ab.coeff(0,4), 0.350864567234111);
|
|
VERIFY_IS_APPROX(ab.coeff(0,5), -0.0923032108308013);
|
|
VERIFY_IS_APPROX(ab.coeff(1,0), 0.415417514804677);
|
|
VERIFY_IS_APPROX(ab.coeff(1,1), -0.2369227701722048);
|
|
VERIFY_IS_APPROX(ab.coeff(1,2), 0.7502275131458511);
|
|
VERIFY_IS_APPROX(ab.coeff(1,3), -0.4278731019742696);
|
|
VERIFY_IS_APPROX(ab.coeff(1,4), -0.3628129162264507);
|
|
VERIFY_IS_APPROX(ab.coeff(1,5), 0.2069210808481275);
|
|
VERIFY_IS_APPROX(ab.coeff(2,0), 0.05465890160863986);
|
|
VERIFY_IS_APPROX(ab.coeff(2,1), -0.2634092511419858);
|
|
VERIFY_IS_APPROX(ab.coeff(2,2), 0.09871180285793758);
|
|
VERIFY_IS_APPROX(ab.coeff(2,3), -0.4757066334017702);
|
|
VERIFY_IS_APPROX(ab.coeff(2,4), -0.04773740823058334);
|
|
VERIFY_IS_APPROX(ab.coeff(2,5), 0.2300535609645254);
|
|
VERIFY_IS_APPROX(ab.coeff(3,0), -0.8172945853260133);
|
|
VERIFY_IS_APPROX(ab.coeff(3,1), 0.2150086428359221);
|
|
VERIFY_IS_APPROX(ab.coeff(3,2), 0.5825113847292743);
|
|
VERIFY_IS_APPROX(ab.coeff(3,3), -0.1532433770097174);
|
|
VERIFY_IS_APPROX(ab.coeff(3,4), -0.329383387282399);
|
|
VERIFY_IS_APPROX(ab.coeff(3,5), 0.08665207912033064);
|
|
VERIFY_IS_APPROX(ab.coeff(4,0), 0.8451267514863225);
|
|
VERIFY_IS_APPROX(ab.coeff(4,1), -0.481996458918977);
|
|
VERIFY_IS_APPROX(ab.coeff(4,2), -0.6023482390791535);
|
|
VERIFY_IS_APPROX(ab.coeff(4,3), 0.3435339347164565);
|
|
VERIFY_IS_APPROX(ab.coeff(4,4), 0.3406002157428891);
|
|
VERIFY_IS_APPROX(ab.coeff(4,5), -0.1942526344200915);
|
|
VERIFY_IS_APPROX(ab.coeff(5,0), 0.1111982482925399);
|
|
VERIFY_IS_APPROX(ab.coeff(5,1), -0.5358806424754169);
|
|
VERIFY_IS_APPROX(ab.coeff(5,2), -0.07925446559335647);
|
|
VERIFY_IS_APPROX(ab.coeff(5,3), 0.3819388757769038);
|
|
VERIFY_IS_APPROX(ab.coeff(5,4), 0.04481475387219876);
|
|
VERIFY_IS_APPROX(ab.coeff(5,5), -0.2159688616158057);
|
|
}
|
|
|
|
|
|
template<typename MatrixType>
|
|
void check_sparse_kronecker_product(const MatrixType& ab)
|
|
{
|
|
VERIFY_IS_EQUAL(ab.rows(), 12);
|
|
VERIFY_IS_EQUAL(ab.cols(), 10);
|
|
VERIFY_IS_EQUAL(ab.nonZeros(), 3*2);
|
|
VERIFY_IS_APPROX(ab.coeff(3,0), -0.04);
|
|
VERIFY_IS_APPROX(ab.coeff(5,1), 0.05);
|
|
VERIFY_IS_APPROX(ab.coeff(0,6), -0.08);
|
|
VERIFY_IS_APPROX(ab.coeff(2,7), 0.10);
|
|
VERIFY_IS_APPROX(ab.coeff(6,8), 0.12);
|
|
VERIFY_IS_APPROX(ab.coeff(8,9), -0.15);
|
|
}
|
|
|
|
|
|
void test_kronecker_product()
|
|
{
|
|
// DM = dense matrix; SM = sparse matrix
|
|
|
|
Matrix<double, 2, 3> DM_a;
|
|
SparseMatrix<double> SM_a(2,3);
|
|
SM_a.insert(0,0) = DM_a.coeffRef(0,0) = -0.4461540300782201;
|
|
SM_a.insert(0,1) = DM_a.coeffRef(0,1) = -0.8057364375283049;
|
|
SM_a.insert(0,2) = DM_a.coeffRef(0,2) = 0.3896572459516341;
|
|
SM_a.insert(1,0) = DM_a.coeffRef(1,0) = -0.9076572187376921;
|
|
SM_a.insert(1,1) = DM_a.coeffRef(1,1) = 0.6469156566545853;
|
|
SM_a.insert(1,2) = DM_a.coeffRef(1,2) = -0.3658010398782789;
|
|
|
|
MatrixXd DM_b(3,2);
|
|
SparseMatrix<double> SM_b(3,2);
|
|
SM_b.insert(0,0) = DM_b.coeffRef(0,0) = 0.9004440976767099;
|
|
SM_b.insert(0,1) = DM_b.coeffRef(0,1) = -0.2368830858139832;
|
|
SM_b.insert(1,0) = DM_b.coeffRef(1,0) = -0.9311078389941825;
|
|
SM_b.insert(1,1) = DM_b.coeffRef(1,1) = 0.5310335762980047;
|
|
SM_b.insert(2,0) = DM_b.coeffRef(2,0) = -0.1225112806872035;
|
|
SM_b.insert(2,1) = DM_b.coeffRef(2,1) = 0.5903998022741264;
|
|
|
|
SparseMatrix<double,RowMajor> SM_row_a(SM_a), SM_row_b(SM_b);
|
|
|
|
// test DM_fixedSize = kroneckerProduct(DM_block,DM)
|
|
Matrix<double, 6, 6> DM_fix_ab = kroneckerProduct(DM_a.topLeftCorner<2,3>(),DM_b);
|
|
|
|
CALL_SUBTEST(check_kronecker_product(DM_fix_ab));
|
|
CALL_SUBTEST(check_kronecker_product(kroneckerProduct(DM_a.topLeftCorner<2,3>(),DM_b)));
|
|
|
|
for(int i=0;i<DM_fix_ab.rows();++i)
|
|
for(int j=0;j<DM_fix_ab.cols();++j)
|
|
VERIFY_IS_APPROX(kroneckerProduct(DM_a,DM_b).coeff(i,j), DM_fix_ab(i,j));
|
|
|
|
// test DM_block = kroneckerProduct(DM,DM)
|
|
MatrixXd DM_block_ab(10,15);
|
|
DM_block_ab.block<6,6>(2,5) = kroneckerProduct(DM_a,DM_b);
|
|
CALL_SUBTEST(check_kronecker_product(DM_block_ab.block<6,6>(2,5)));
|
|
|
|
// test DM = kroneckerProduct(DM,DM)
|
|
MatrixXd DM_ab = kroneckerProduct(DM_a,DM_b);
|
|
CALL_SUBTEST(check_kronecker_product(DM_ab));
|
|
CALL_SUBTEST(check_kronecker_product(kroneckerProduct(DM_a,DM_b)));
|
|
|
|
// test SM = kroneckerProduct(SM,DM)
|
|
SparseMatrix<double> SM_ab = kroneckerProduct(SM_a,DM_b);
|
|
CALL_SUBTEST(check_kronecker_product(SM_ab));
|
|
SparseMatrix<double,RowMajor> SM_ab2 = kroneckerProduct(SM_a,DM_b);
|
|
CALL_SUBTEST(check_kronecker_product(SM_ab2));
|
|
CALL_SUBTEST(check_kronecker_product(kroneckerProduct(SM_a,DM_b)));
|
|
|
|
// test SM = kroneckerProduct(DM,SM)
|
|
SM_ab.setZero();
|
|
SM_ab.insert(0,0)=37.0;
|
|
SM_ab = kroneckerProduct(DM_a,SM_b);
|
|
CALL_SUBTEST(check_kronecker_product(SM_ab));
|
|
SM_ab2.setZero();
|
|
SM_ab2.insert(0,0)=37.0;
|
|
SM_ab2 = kroneckerProduct(DM_a,SM_b);
|
|
CALL_SUBTEST(check_kronecker_product(SM_ab2));
|
|
CALL_SUBTEST(check_kronecker_product(kroneckerProduct(DM_a,SM_b)));
|
|
|
|
// test SM = kroneckerProduct(SM,SM)
|
|
SM_ab.resize(2,33);
|
|
SM_ab.insert(0,0)=37.0;
|
|
SM_ab = kroneckerProduct(SM_a,SM_b);
|
|
CALL_SUBTEST(check_kronecker_product(SM_ab));
|
|
SM_ab2.resize(5,11);
|
|
SM_ab2.insert(0,0)=37.0;
|
|
SM_ab2 = kroneckerProduct(SM_a,SM_b);
|
|
CALL_SUBTEST(check_kronecker_product(SM_ab2));
|
|
CALL_SUBTEST(check_kronecker_product(kroneckerProduct(SM_a,SM_b)));
|
|
|
|
// test SM = kroneckerProduct(SM,SM) with sparse pattern
|
|
SM_a.resize(4,5);
|
|
SM_b.resize(3,2);
|
|
SM_a.resizeNonZeros(0);
|
|
SM_b.resizeNonZeros(0);
|
|
SM_a.insert(1,0) = -0.1;
|
|
SM_a.insert(0,3) = -0.2;
|
|
SM_a.insert(2,4) = 0.3;
|
|
SM_a.finalize();
|
|
|
|
SM_b.insert(0,0) = 0.4;
|
|
SM_b.insert(2,1) = -0.5;
|
|
SM_b.finalize();
|
|
SM_ab.resize(1,1);
|
|
SM_ab.insert(0,0)=37.0;
|
|
SM_ab = kroneckerProduct(SM_a,SM_b);
|
|
CALL_SUBTEST(check_sparse_kronecker_product(SM_ab));
|
|
|
|
// test dimension of result of DM = kroneckerProduct(DM,DM)
|
|
MatrixXd DM_a2(2,1);
|
|
MatrixXd DM_b2(5,4);
|
|
MatrixXd DM_ab2 = kroneckerProduct(DM_a2,DM_b2);
|
|
CALL_SUBTEST(check_dimension(DM_ab2,2*5,1*4));
|
|
DM_a2.resize(10,9);
|
|
DM_b2.resize(4,8);
|
|
DM_ab2 = kroneckerProduct(DM_a2,DM_b2);
|
|
CALL_SUBTEST(check_dimension(DM_ab2,10*4,9*8));
|
|
|
|
for(int i = 0; i < g_repeat; i++)
|
|
{
|
|
double density = Eigen::internal::random<double>(0.01,0.5);
|
|
int ra = Eigen::internal::random<int>(1,50);
|
|
int ca = Eigen::internal::random<int>(1,50);
|
|
int rb = Eigen::internal::random<int>(1,50);
|
|
int cb = Eigen::internal::random<int>(1,50);
|
|
SparseMatrix<float,ColMajor> sA(ra,ca), sB(rb,cb), sC;
|
|
SparseMatrix<float,RowMajor> sC2;
|
|
MatrixXf dA(ra,ca), dB(rb,cb), dC;
|
|
initSparse(density, dA, sA);
|
|
initSparse(density, dB, sB);
|
|
|
|
sC = kroneckerProduct(sA,sB);
|
|
dC = kroneckerProduct(dA,dB);
|
|
VERIFY_IS_APPROX(MatrixXf(sC),dC);
|
|
|
|
sC = kroneckerProduct(sA.transpose(),sB);
|
|
dC = kroneckerProduct(dA.transpose(),dB);
|
|
VERIFY_IS_APPROX(MatrixXf(sC),dC);
|
|
|
|
sC = kroneckerProduct(sA.transpose(),sB.transpose());
|
|
dC = kroneckerProduct(dA.transpose(),dB.transpose());
|
|
VERIFY_IS_APPROX(MatrixXf(sC),dC);
|
|
|
|
sC = kroneckerProduct(sA,sB.transpose());
|
|
dC = kroneckerProduct(dA,dB.transpose());
|
|
VERIFY_IS_APPROX(MatrixXf(sC),dC);
|
|
|
|
sC2 = kroneckerProduct(sA,sB);
|
|
dC = kroneckerProduct(dA,dB);
|
|
VERIFY_IS_APPROX(MatrixXf(sC2),dC);
|
|
}
|
|
}
|