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authorGravatar Chen-Pang He <jdh8@ms63.hinet.net>2012-08-25 01:09:20 +0800
committerGravatar Chen-Pang He <jdh8@ms63.hinet.net>2012-08-25 01:09:20 +0800
commit1cd4279b03d5cb4a9ae16eef7af78b4af1003b8f (patch)
tree260b2508a5af4da8aacc8a2e41b7d0a69f50784b /unsupported/test/matrix_power.cpp
parentedc7a09ee740c1a20ad8cb6f1a16fe0fbff1a8c9 (diff)
Fix a lot in MatrixPower.h
Diffstat (limited to 'unsupported/test/matrix_power.cpp')
-rw-r--r--unsupported/test/matrix_power.cpp152
1 files changed, 122 insertions, 30 deletions
diff --git a/unsupported/test/matrix_power.cpp b/unsupported/test/matrix_power.cpp
index f3ef57157..80f65ebe4 100644
--- a/unsupported/test/matrix_power.cpp
+++ b/unsupported/test/matrix_power.cpp
@@ -23,7 +23,7 @@ void test2dRotation(double tol)
B << c, s, -s, c;
C = A.pow(std::ldexp(angle, 1) / M_PI);
- std::cout << "test2dRotation: i = " << i << " error powerm = " << relerr(C, B) << "\n";
+ std::cout << "test2dRotation: i = " << i << " error powerm = " << relerr(C, B) << '\n';
VERIFY(C.isApprox(B, T(tol)));
}
}
@@ -43,44 +43,117 @@ void test2dHyperbolicRotation(double tol)
B << ch, ish, -ish, ch;
C = A.pow(angle);
- std::cout << "test2dHyperbolicRotation: i = " << i << " error powerm = " << relerr(C, B) << "\n";
+ std::cout << "test2dHyperbolicRotation: i = " << i << " error powerm = " << relerr(C, B) << '\n';
VERIFY(C.isApprox(B, T(tol)));
}
}
template <typename MatrixType>
-void testExponentLaws(const MatrixType& m, double tol)
+void testIntPowers(const MatrixType& m, double tol)
{
- typedef typename MatrixType::Scalar Scalar;
- typedef typename NumTraits<Scalar>::Real RealScalar;
+ 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 = 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)));
+ }
- typename MatrixType::Index rows = m.rows();
- typename MatrixType::Index cols = m.cols();
- MatrixType m1, m1x, m1y, m2, m3;
- RealScalar x = internal::random<RealScalar>(), y = internal::random<RealScalar>();
- double err[3];
+ 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 = 0; i < g_repeat; i++) {
+ 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>
+void testExponentLaws(const MatrixType& m, double tol)
+{
+ typedef typename MatrixType::RealScalar RealScalar;
+ MatrixType m1, m2, m3, m4, m5;
+ RealScalar x, y;
+
+ for (int i = 0; i < g_repeat; i++) {
generateTestMatrix<MatrixType>::run(m1, m.rows());
- m1x = m1.pow(x);
- m1y = m1.pow(y);
+ x = internal::random<RealScalar>();
+ y = internal::random<RealScalar>();
+ m2 = m1.pow(x);
+ m3 = m1.pow(y);
+
+ m4 = m1.pow(x + y);
+ m5 = m2 * m3;
+ std::cout << "testExponentLaws: error powerm = " << relerr(m4, m5);
+ VERIFY(m4.isApprox(m5, RealScalar(tol)));
- m2 = m1.pow(x + y);
- m3 = m1x * m1y;
- err[0] = relerr(m2, m3);
- VERIFY(m2.isApprox(m3, static_cast<RealScalar>(tol)));
+ if (!NumTraits<typename MatrixType::Scalar>::IsComplex) {
+ m4 = m1.pow(x * y);
+ m5 = m2.pow(y);
+ std::cout << " " << relerr(m4, m5);
+ VERIFY(m4.isApprox(m5, RealScalar(tol)));
+ }
- m2 = m1.pow(x * y);
- m3 = m1x.pow(y);
- err[1] = relerr(m2, m3);
- VERIFY(m2.isApprox(m3, static_cast<RealScalar>(tol)));
+ m4 = (std::abs(x) * m1).pow(y);
+ m5 = std::pow(std::abs(x), y) * m3;
+ std::cout << " " << relerr(m4, m5) << '\n';
+ VERIFY(m4.isApprox(m5, RealScalar(tol)));
+ }
+}
- m2 = (std::abs(x) * m1).pow(y);
- m3 = std::pow(std::abs(x), y) * m1y;
- err[2] = relerr(m2, m3);
- VERIFY(m2.isApprox(m3, static_cast<RealScalar>(tol)));
+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;
- std::cout << "testExponentLaws: error powerm = " << err[0] << " " << err[1] << " " << err[2] << "\n";
+ 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 = m1.pow(pReal).eval() * v1;
+ v3 = m1.pow(pReal) * v1;
+ std::cout << "testMatrixVectorProduct: error powerm = " << relerr(v2, v3);
+ VERIFY(v2.isApprox(v3, RealScalar(tol)));
+
+ v2 = m1.pow(pInt).eval() * v1;
+ v3 = m1.pow(pInt) * v1;
+ std::cout << " " << relerr(v2, v3) << '\n';
+ VERIFY(v2.isApprox(v3, RealScalar(tol)) || v2 == v3);
}
}
@@ -88,17 +161,36 @@ void test_matrix_power()
{
CALL_SUBTEST_2(test2dRotation<double>(1e-13));
CALL_SUBTEST_1(test2dRotation<float>(2e-5)); // was 1e-5, relaxed for clang 2.8 / linux / x86-64
- CALL_SUBTEST_8(test2dRotation<long double>(1e-13));
+ CALL_SUBTEST_9(test2dRotation<long double>(1e-13));
CALL_SUBTEST_2(test2dHyperbolicRotation<double>(1e-14));
CALL_SUBTEST_1(test2dHyperbolicRotation<float>(1e-5));
- CALL_SUBTEST_8(test2dHyperbolicRotation<long double>(1e-14));
+ 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));
CALL_SUBTEST_4(testExponentLaws(MatrixXd(8,8), 1e-13));
CALL_SUBTEST_1(testExponentLaws(Matrix2f(), 1e-4));
CALL_SUBTEST_5(testExponentLaws(Matrix3cf(), 1e-4));
- CALL_SUBTEST_1(testExponentLaws(Matrix4f(), 1e-4));
+ CALL_SUBTEST_8(testExponentLaws(Matrix4f(), 1e-4));
CALL_SUBTEST_6(testExponentLaws(MatrixXf(8,8), 1e-4));
- CALL_SUBTEST_9(testExponentLaws(Matrix<long double,Dynamic,Dynamic>(7,7), 1e-13));
+
+ CALL_SUBTEST_2(testMatrixVectorProduct(Matrix2d(), Vector2d(), 1e-13));
+ CALL_SUBTEST_7(testMatrixVectorProduct(Matrix<double,3,3,RowMajor>(), Vector3d(), 1e-13));
+ CALL_SUBTEST_3(testMatrixVectorProduct(Matrix4cd(), Vector4cd(), 1e-13));
+ CALL_SUBTEST_4(testMatrixVectorProduct(MatrixXd(8,8), MatrixXd(8,2), 1e-13));
+ CALL_SUBTEST_1(testMatrixVectorProduct(Matrix2f(), Vector2f(), 1e-4));
+ 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));
}