Directory: | ./ |
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File: | include/parametric-curves/MathDefs.h |
Date: | 2025-04-07 13:04:42 |
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1 | /** | ||
2 | * \file Math.h | ||
3 | * \brief Linear algebra and other maths definitions. Based on Eigen 3 or more | ||
4 | * \author Steve T. | ||
5 | * \version 0.1 | ||
6 | * \date 06/17/2013 | ||
7 | * | ||
8 | * This file contains math definitions used | ||
9 | * used throughout the library. | ||
10 | * Preprocessors definition are used to use either float | ||
11 | * or double values, and 3 dimensional vectors for | ||
12 | * the Point structure. | ||
13 | */ | ||
14 | |||
15 | #ifndef _SPLINEMATH | ||
16 | #define _SPLINEMATH | ||
17 | |||
18 | #include <Eigen/Dense> | ||
19 | #include <Eigen/SVD> | ||
20 | #include <utility> | ||
21 | #include <vector> | ||
22 | |||
23 | namespace parametriccurves { | ||
24 | |||
25 | // REF: boulic et al An inverse kinematics architecture enforcing an arbitrary | ||
26 | // number of strict priority levels | ||
27 | template <typename _Matrix_Type_> | ||
28 | 4 | void PseudoInverse(_Matrix_Type_& pinvmat) { | |
29 |
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4 | Eigen::JacobiSVD<_Matrix_Type_> svd( |
30 | pinvmat, Eigen::ComputeFullU | Eigen::ComputeFullV); | ||
31 |
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4 | _Matrix_Type_ m_sigma = svd.singularValues(); |
32 | |||
33 | 4 | double pinvtoler = 1.e-6; // choose your tolerance widely! | |
34 | |||
35 |
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4 | _Matrix_Type_ m_sigma_inv = |
36 | _Matrix_Type_::Zero(pinvmat.cols(), pinvmat.rows()); | ||
37 |
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21 | for (long i = 0; i < m_sigma.rows(); ++i) { |
38 |
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17 | if (m_sigma(i) > pinvtoler) m_sigma_inv(i, i) = 1.0 / m_sigma(i); |
39 | } | ||
40 |
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4 | pinvmat = (svd.matrixV() * m_sigma_inv * svd.matrixU().transpose()); |
41 | 4 | } | |
42 | |||
43 | } // namespace parametriccurves | ||
44 | #endif //_SPLINEMATH | ||
45 |