| /external/eigen/test/eigen2/ |
| eigen2_product_large.cpp | 15 CALL_SUBTEST_1( product(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) );
16 CALL_SUBTEST_2( product(MatrixXd(ei_random<int>(1,320), ei_random<int>(1,320))) );
17 CALL_SUBTEST_3( product(MatrixXi(ei_random<int>(1,320), ei_random<int>(1,320))) );
18 CALL_SUBTEST_4( product(MatrixXcf(ei_random<int>(1,50), ei_random<int>(1,50))) );
19 CALL_SUBTEST_5( product(Matrix<float,Dynamic,Dynamic,RowMajor>(ei_random<int>(1,320), ei_random<int>(1,320))) )
[all...] |
| eigen2_smallvectors.cpp | 17 Scalar x1 = ei_random<Scalar>(),
18 x2 = ei_random<Scalar>(),
19 x3 = ei_random<Scalar>(),
20 x4 = ei_random<Scalar>();
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| eigen2_lu.cpp | 19 RealScalar d = Eigen::ei_random<RealScalar>(-1,1);
20 int i = Eigen::ei_random<int>(0,m.rows()-1); // i is a random row number
23 j = Eigen::ei_random<int>(0,m.rows()-1);
27 i = Eigen::ei_random<int>(0,m.cols()-1); // i is a random column number
29 j = Eigen::ei_random<int>(0,m.cols()-1);
41 int rows = ei_random<int>(20,200), cols = ei_random<int>(20,200), cols2 = ei_random<int>(20,200);
42 int rank = ei_random<int>(1, std::min(rows, cols)-1);
83 int size = ei_random<int>(10,200)
[all...] |
| sparse.h | 57 Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0);
60 v = ei_random<Scalar>()*Scalar(3.);
100 Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0);
103 v = ei_random<Scalar>()*Scalar(3.);
141 Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0);
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| eigen2_miscmatrices.cpp | 24 int r = ei_random<int>(0, rows-1), r2 = ei_random<int>(0, rows-1), c = ei_random<int>(0, cols-1);
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| eigen2_nomalloc.cpp | 35 Scalar s1 = ei_random<Scalar>();
37 int r = ei_random<int>(0, rows-1),
38 c = ei_random<int>(0, cols-1);
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| eigen2_determinant.cpp | 25 Scalar x = ei_random<Scalar>();
29 int i = ei_random<int>(0, size-1);
32 j = ei_random<int>(0, size-1);
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| eigen2_sparse_basic.cpp | 22 int i = ei_random<int>(0,remaining.size()-1);
38 int i = ei_random<int>(0,remaining.size()-1);
61 Scalar s1 = ei_random<Scalar>();
87 int j = ei_random<int>(0,cols-1);
88 int i = ei_random<int>(0,rows-1);
89 int w = ei_random<int>(1,cols-j-1);
90 int h = ei_random<int>(1,rows-i-1);
146 // int i = ei_random<int>(0,remaining.size()-1);
175 int i = ei_random<int>(0,rows-1);
177 m2.fillrand(i,j) = m1(i,j) = ei_random<Scalar>()
[all...] |
| eigen2_adjoint.cpp | 38 Scalar s1 = ei_random<Scalar>(),
39 s2 = ei_random<Scalar>();
65 int r = ei_random<int>(0, rows-1),
66 c = ei_random<int>(0, cols-1);
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| eigen2_linearstructure.cpp | 30 Scalar s1 = ei_random<Scalar>();
31 while (ei_abs(s1)<1e-3) s1 = ei_random<Scalar>();
33 int r = ei_random<int>(0, rows-1),
34 c = ei_random<int>(0, cols-1);
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| eigen2_parametrizedline.cpp | 36 Scalar s0 = ei_random<Scalar>();
37 Scalar s1 = ei_abs(ei_random<Scalar>());
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| eigen2_submatrices.cpp | 59 Scalar s1 = ei_random<Scalar>();
61 int r1 = ei_random<int>(0,rows-1);
62 int r2 = ei_random<int>(r1,rows-1);
63 int c1 = ei_random<int>(0,cols-1);
64 int c2 = ei_random<int>(c1,cols-1);
120 i = ei_random(0,rows-2);
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| eigen2_basicstuff.cpp | 30 Scalar x = ei_random<Scalar>();
32 int r = ei_random<int>(0, rows-1),
33 c = ei_random<int>(0, cols-1);
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| eigen2_array.cpp | 30 Scalar s1 = ei_random<Scalar>(),
31 s2 = ei_random<Scalar>();
61 int r = ei_random<int>(0, rows-1),
62 c = ei_random<int>(0, cols-1);
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| eigen2_hyperplane.cpp | 39 Scalar s0 = ei_random<Scalar>();
40 Scalar s1 = ei_random<Scalar>();
91 Scalar a = ei_random<Scalar>();
92 while (ei_abs(a-1) < 1e-4) a = ei_random<Scalar>();
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| eigen2_map.cpp | 105 CALL_SUBTEST_4( map_class_matrix(MatrixXcf(ei_random<int>(1,10),ei_random<int>(1,10))) );
106 CALL_SUBTEST_5( map_class_matrix(MatrixXi(ei_random<int>(1,10),ei_random<int>(1,10))) );
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| eigen2_visitor.cpp | 25 m(i) = ei_random<Scalar>();
71 v(i) = ei_random<Scalar>();
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| eigen2_alignedbox.cpp | 28 RealScalar s1 = ei_random<RealScalar>(0,1);
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| product.h | 55 Scalar s1 = ei_random<Scalar>();
57 int r = ei_random<int>(0, rows-1),
58 c = ei_random<int>(0, cols-1);
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| eigen2_cwiseop.cpp | 43 int r = ei_random<int>(0, rows-1),
44 c = ei_random<int>(0, cols-1);
46 Scalar s1 = ei_random<Scalar>();
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| eigen2_sparse_vector.cpp | 36 Scalar s1 = ei_random<Scalar>();
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| eigen2_packetmath.cpp | 55 data1[i] = ei_random<Scalar>();
56 data2[i] = ei_random<Scalar>();
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| eigen2_regression.cpp | 27 hyperplane->coeffs().coeffRef(j) = ei_random<Scalar>();
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| eigen2_geometry.cpp | 46 Scalar a = ei_random<Scalar>(-Scalar(M_PI), Scalar(M_PI));
136 a = ei_random<Scalar>(-Scalar(0.4)*Scalar(M_PI), Scalar(0.4)*Scalar(M_PI));
192 Scalar a3 = ei_random<Scalar>(-Scalar(M_PI), Scalar(M_PI));
382 Rotation2D<Scalar> r2d1(ei_random<Scalar>());
389 // m.col(1) = Vector3(0,ei_random<Scalar>(),ei_random<Scalar>()).normalized();
417 int i = ei_random<int>(0,2);
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| /external/eigen/Eigen/src/Eigen2Support/ |
| MathFunctions.h | 27 template<typename T> inline T ei_random () { return internal::random<T>(); } function in namespace:Eigen
28 template<typename T> inline T ei_random (const T& x, const T& y) { return internal::random(x, y); } function in namespace:Eigen
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