geo_orthomethods.cpp revision 2b8756b6f1de65d3f8bffab45be6c44ceb7411fc
1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Geometry>
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/LU>
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/SVD>
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/* this test covers the following files:
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath   Geometry/OrthoMethods.h
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath*/
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> void orthomethods_3()
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,3,3> Matrix3;
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,3,1> Vector3;
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,4,1> Vector4;
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Vector3 v0 = Vector3::Random(),
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          v1 = Vector3::Random(),
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          v2 = Vector3::Random();
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // cross product
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).dot(v1), Scalar(1));
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN(v1.dot(v1.cross(v2)), Scalar(1));
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).dot(v2), Scalar(1));
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN(v2.dot(v1.cross(v2)), Scalar(1));
362b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(Vector3::Random()).dot(v1), Scalar(1));
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Matrix3 mat3;
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mat3 << v0.normalized(),
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         (v0.cross(v1)).normalized(),
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         (v0.cross(v1).cross(v0)).normalized();
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(mat3.isUnitary());
422b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
432b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  mat3.setRandom();
442b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_APPROX(v0.cross(mat3*v1), -(mat3*v1).cross(v0));
452b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_APPROX(v0.cross(mat3.lazyProduct(v1)), -(mat3.lazyProduct(v1)).cross(v0));
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // colwise/rowwise cross product
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mat3.setRandom();
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Vector3 vec3 = Vector3::Random();
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Matrix3 mcross;
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int i = internal::random<int>(0,2);
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mcross = mat3.colwise().cross(vec3);
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(mcross.col(i), mat3.col(i).cross(vec3));
542b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
552b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_MUCH_SMALLER_THAN((mat3.adjoint() * mat3.colwise().cross(vec3)).diagonal().cwiseAbs().sum(), Scalar(1));
562b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_MUCH_SMALLER_THAN((mat3.adjoint() * mat3.colwise().cross(Vector3::Random())).diagonal().cwiseAbs().sum(), Scalar(1));
572b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
582b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_MUCH_SMALLER_THAN((vec3.adjoint() * mat3.colwise().cross(vec3)).cwiseAbs().sum(), Scalar(1));
592b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_MUCH_SMALLER_THAN((vec3.adjoint() * Matrix3::Random().colwise().cross(vec3)).cwiseAbs().sum(), Scalar(1));
602b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mcross = mat3.rowwise().cross(vec3);
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(mcross.row(i), mat3.row(i).cross(vec3));
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // cross3
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Vector4 v40 = Vector4::Random(),
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          v41 = Vector4::Random(),
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          v42 = Vector4::Random();
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v40.w() = v41.w() = v42.w() = 0;
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v42.template head<3>() = v40.template head<3>().cross(v41.template head<3>());
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v40.cross3(v41), v42);
712b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  VERIFY_IS_MUCH_SMALLER_THAN(v40.cross3(Vector4::Random()).dot(v40), Scalar(1));
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // check mixed product
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<RealScalar, 3, 1> RealVector3;
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  RealVector3 rv1 = RealVector3::Random();
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v1.cross(rv1.template cast<Scalar>()), v1.cross(rv1));
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(rv1.template cast<Scalar>().cross(v1), rv1.cross(v1));
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar, int Size> void orthomethods(int size=Size)
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,Size,1> VectorType;
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,3,Size> Matrix3N;
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,Size,3> MatrixN3;
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,3,1> Vector3;
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType v0 = VectorType::Random(size);
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // unitOrthogonal
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN(v0.unitOrthogonal().dot(v0), Scalar(1));
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), RealScalar(1));
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if (size>=3)
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    v0.template head<2>().setZero();
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    v0.tail(size-2).setRandom();
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_MUCH_SMALLER_THAN(v0.unitOrthogonal().dot(v0), Scalar(1));
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), RealScalar(1));
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // colwise/rowwise cross product
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Vector3 vec3 = Vector3::Random();
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int i = internal::random<int>(0,size-1);
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Matrix3N mat3N(3,size), mcross3N(3,size);
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mat3N.setRandom();
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mcross3N = mat3N.colwise().cross(vec3);
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(mcross3N.col(i), mat3N.col(i).cross(vec3));
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixN3 matN3(size,3), mcrossN3(size,3);
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  matN3.setRandom();
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  mcrossN3 = matN3.rowwise().cross(vec3);
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(mcrossN3.row(i), matN3.row(i).cross(vec3));
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_geo_orthomethods()
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat; i++) {
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( orthomethods_3<float>() );
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( orthomethods_3<double>() );
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( orthomethods_3<std::complex<double> >() );
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( (orthomethods<float,2>()) );
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( (orthomethods<double,2>()) );
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( (orthomethods<float,3>()) );
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( (orthomethods<double,3>()) );
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( (orthomethods<float,7>()) );
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( (orthomethods<std::complex<double>,8>()) );
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_5( (orthomethods<float,Dynamic>(36)) );
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_6( (orthomethods<double,Dynamic>(35)) );
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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