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Version 3.0.3-105-gd3941f44
least_squares.h
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16
17#ifndef __math_least_squares_h__
18#define __math_least_squares_h__
19
20#include <Eigen/Cholesky>
21
22#include "types.h"
23
24namespace MR
25{
26 namespace Math
27 {
28
38 template <class MatrixType>
39 inline Eigen::Matrix<typename MatrixType::Scalar,Eigen::Dynamic, Eigen::Dynamic> pinv (const MatrixType& M)
40 {
41 if (M.rows() >= M.cols())
42 return (M.transpose()*M).ldlt().solve (M.transpose());
43 else
44 return (M*M.transpose()).ldlt().solve (M).transpose();
45 }
46
47 template <class MatrixType>
48 inline size_t rank (const MatrixType& M)
49 {
50 Eigen::FullPivLU<MatrixType> lu_decomp (M);
51 return lu_decomp.rank();
52 }
53
60 }
61}
62
63#endif
64
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71
Eigen::Matrix< typename MatrixType::Scalar, Eigen::Dynamic, Eigen::Dynamic > pinv(const MatrixType &M)
return Moore-Penrose pseudo-inverse of M
Definition: least_squares.h:39
size_t rank(const MatrixType &M)
Definition: least_squares.h:48
Definition: base.h:24