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authorGravatar Chen-Pang He <jdh8@ms63.hinet.net>2012-08-28 01:55:13 +0800
committerGravatar Chen-Pang He <jdh8@ms63.hinet.net>2012-08-28 01:55:13 +0800
commitba4e886376382ca29b5ae6b9f31b869805ab415a (patch)
tree1fc07956bc2ec7b7ba66072650406066531f6534 /unsupported/test/matrix_power.cpp
parent5252d823c92dd2db388869e097eac9b1501488ce (diff)
Tidy up and write dox.
Diffstat (limited to 'unsupported/test/matrix_power.cpp')
-rw-r--r--unsupported/test/matrix_power.cpp112
1 files changed, 35 insertions, 77 deletions
diff --git a/unsupported/test/matrix_power.cpp b/unsupported/test/matrix_power.cpp
index 3c0e4f356..d891641f4 100644
--- a/unsupported/test/matrix_power.cpp
+++ b/unsupported/test/matrix_power.cpp
@@ -9,7 +9,7 @@
#include "matrix_functions.h"
-template <typename T>
+template<typename T>
void test2dRotation(double tol)
{
Matrix<T,2,2> A, B, C;
@@ -28,7 +28,7 @@ void test2dRotation(double tol)
}
}
-template <typename T>
+template<typename T>
void test2dHyperbolicRotation(double tol)
{
Matrix<std::complex<T>,2,2> A, B, C;
@@ -48,55 +48,7 @@ void test2dHyperbolicRotation(double tol)
}
}
-template <typename MatrixType>
-void testIntPowers(const MatrixType& m, double tol)
-{
- typedef typename MatrixType::RealScalar RealScalar;
- const MatrixType m1 = MatrixType::Random(m.rows(), m.cols());
- const MatrixType identity = MatrixType::Identity(m.rows(), m.cols());
- const PartialPivLU<MatrixType> solver(m1);
- MatrixType m2, m3, m4;
-
- m3 = m1.pow(0);
- m4 = m1.pow(0.);
- std::cout << "testIntPower: i = 0 error powerm = " << relerr(identity, m3) << " " << relerr(identity, m4) << '\n';
- VERIFY(identity == m3 && identity == m4);
-
- m3 = m1.pow(1);
- m4 = m1.pow(1.);
- std::cout << "testIntPower: i = 1 error powerm = " << relerr(m1, m3) << " " << relerr(m1, m4) << '\n';
- VERIFY(m1 == m3 && m1 == m4);
-
- m2.noalias() = m1 * m1;
- m3 = m1.pow(2);
- m4 = m1.pow(2.);
- std::cout << "testIntPower: i = 2 error powerm = " << relerr(m2, m3) << " " << relerr(m2, m4) << '\n';
- VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
-
- for (int i = 3; i <= 20; i++) {
- m2 *= m1;
- m3 = m1.pow(i);
- m4 = m1.pow(RealScalar(i));
- std::cout << "testIntPower: i = " << i << " error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n';
- VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
- }
-
- m2 = solver.inverse();
- m3 = m1.pow(-1);
- m4 = m1.pow(-1.);
- std::cout << "testIntPower: i = -1 error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n';
- VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
-
- for (int i = -2; i >= -20; i--) {
- m2 = solver.solve(m2);
- m3 = m1.pow(i);
- m4 = m1.pow(RealScalar(i));
- std::cout << "testIntPower: i = " << i << " error powerm = " << relerr(m2, m3) << " " << relerr (m2, m4) << '\n';
- VERIFY(m2.isApprox(m3, RealScalar(tol)) && m2.isApprox(m4, RealScalar(tol)));
- }
-}
-
-template <typename MatrixType>
+template<typename MatrixType>
void testExponentLaws(const MatrixType& m, double tol)
{
typedef typename MatrixType::RealScalar RealScalar;
@@ -129,31 +81,40 @@ void testExponentLaws(const MatrixType& m, double tol)
}
}
-template <typename MatrixType, typename VectorType>
+template<typename MatrixType, typename VectorType>
void testMatrixVectorProduct(const MatrixType& m, const VectorType& v, double tol)
{
typedef typename MatrixType::RealScalar RealScalar;
MatrixType m1;
VectorType v1, v2, v3;
- RealScalar pReal;
- signed char pInt;
+ RealScalar p;
for (int i = 0; i < g_repeat; i++) {
generateTestMatrix<MatrixType>::run(m1, m.rows());
v1 = VectorType::Random(v.rows(), v.cols());
- pReal = internal::random<RealScalar>();
- pInt = rand();
- pInt >>= 2;
-
- v2.noalias() = m1.pow(pReal).eval() * v1;
- v3.noalias() = m1.pow(pReal) * v1;
- std::cout << "testMatrixVectorProduct: error powerm = " << relerr(v2, v3);
- VERIFY(v2.isApprox(v3, RealScalar(tol)));
-
- v2.noalias() = m1.pow(pInt).eval() * v1;
- v3.noalias() = m1.pow(pInt) * v1;
- std::cout << " " << relerr(v2, v3) << '\n';
- VERIFY(v2.isApprox(v3, RealScalar(tol)) || v2 == v3);
+ p = internal::random<RealScalar>();
+
+ v2.noalias() = m1.pow(p).eval() * v1;
+ v1 = m1.pow(p) * v1;
+ std::cout << "testMatrixVectorProduct: error powerm = " << relerr(v2, v1) << '\n';
+ VERIFY(v2.isApprox(v1, RealScalar(tol)));
+ }
+}
+
+template<typename MatrixType>
+void testAliasing(const MatrixType& m)
+{
+ typedef typename MatrixType::RealScalar RealScalar;
+ MatrixType m1, m2;
+ RealScalar p;
+
+ for (int i = 0; i < g_repeat; i++) {
+ generateTestMatrix<MatrixType>::run(m1, m.rows());
+ p = internal::random<RealScalar>();
+
+ m2 = m1.pow(p);
+ m1 = m1.pow(p);
+ VERIFY(m1 == m2);
}
}
@@ -166,15 +127,6 @@ void test_matrix_power()
CALL_SUBTEST_1(test2dHyperbolicRotation<float>(1e-5));
CALL_SUBTEST_9(test2dHyperbolicRotation<long double>(1e-14));
- CALL_SUBTEST_2(testIntPowers(Matrix2d(), 1e-13));
- CALL_SUBTEST_7(testIntPowers(Matrix<double,3,3,RowMajor>(), 1e-13));
- CALL_SUBTEST_3(testIntPowers(Matrix4cd(), 1e-13));
- CALL_SUBTEST_4(testIntPowers(MatrixXd(8,8), 1e-13));
- CALL_SUBTEST_1(testIntPowers(Matrix2f(), 1e-4));
- CALL_SUBTEST_5(testIntPowers(Matrix3cf(), 1e-4));
- CALL_SUBTEST_8(testIntPowers(Matrix4f(), 1e-4));
- CALL_SUBTEST_6(testIntPowers(MatrixXf(8,8), 1e-4));
-
CALL_SUBTEST_2(testExponentLaws(Matrix2d(), 1e-13));
CALL_SUBTEST_7(testExponentLaws(Matrix<double,3,3,RowMajor>(), 1e-13));
CALL_SUBTEST_3(testExponentLaws(Matrix4cd(), 1e-13));
@@ -192,5 +144,11 @@ void test_matrix_power()
CALL_SUBTEST_5(testMatrixVectorProduct(Matrix3cf(), Vector3cf(), 1e-4));
CALL_SUBTEST_8(testMatrixVectorProduct(Matrix4f(), Vector4f(), 1e-4));
CALL_SUBTEST_6(testMatrixVectorProduct(MatrixXf(8,8), VectorXf(8), 1e-4));
- CALL_SUBTEST_10(testMatrixVectorProduct(Matrix<long double,Dynamic,Dynamic>(7,7), Matrix<long double,7,9>(), 1e-13));
+ CALL_SUBTEST_9(testMatrixVectorProduct(Matrix<long double,Dynamic,Dynamic>(7,7), Matrix<long double,7,9>(), 1e-13));
+
+ CALL_SUBTEST_7(testAliasing(Matrix<double,3,3,RowMajor>()));
+ CALL_SUBTEST_3(testAliasing(Matrix4cd()));
+ CALL_SUBTEST_4(testAliasing(MatrixXd(8,8)));
+ CALL_SUBTEST_5(testAliasing(Matrix3cf()));
+ CALL_SUBTEST_6(testAliasing(MatrixXf(8,8)));
}