GetFEM  5.4.2
gmm_opt.h
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30 ===========================================================================*/
31 
32 /**@file gmm_opt.h
33  @author Yves Renard <Yves.Renard@insa-lyon.fr>
34  @date July 9, 2003.
35  @brief Optimization for some small cases (inversion of 2x2 matrices etc.)
36 */
37 #ifndef GMM_OPT_H__
38 #define GMM_OPT_H__
39 
40 #include <gmm/gmm_dense_lu.h>
41 
42 namespace gmm {
43 
44  /* ********************************************************************* */
45  /* Optimized determinant and inverse for small matrices (2x2 and 3x3) */
46  /* with dense_matrix<T>. */
47  /* ********************************************************************* */
48 
49  template <typename T> T lu_det(const dense_matrix<T> &A) {
50  size_type n(mat_nrows(A));
51  if (n) {
52  const T *p = &(A(0,0));
53  switch (n) {
54  case 1 : return (*p);
55  case 2 : return (*p) * (*(p+3)) - (*(p+1)) * (*(p+2));
56 // Not stable for nearly singular matrices
57 // case 3 : return (*p) * ((*(p+4)) * (*(p+8)) - (*(p+5)) * (*(p+7)))
58 // - (*(p+1)) * ((*(p+3)) * (*(p+8)) - (*(p+5)) * (*(p+6)))
59 // + (*(p+2)) * ((*(p+3)) * (*(p+7)) - (*(p+4)) * (*(p+6)));
60  default :
61  {
62  dense_matrix<T> B(mat_nrows(A), mat_ncols(A));
63  lapack_ipvt ipvt(mat_nrows(A));
64  gmm::copy(A, B);
65  lu_factor(B, ipvt);
66  return lu_det(B, ipvt);
67  }
68  }
69  }
70  return T(1);
71  }
72 
73 
74  template <typename T> T lu_inverse(const dense_matrix<T> &A_,
75  bool doassert = true) {
76  dense_matrix<T>& A = const_cast<dense_matrix<T> &>(A_);
77  size_type N = mat_nrows(A);
78  T det(1);
79  if (N) {
80  T *p = &(A(0,0));
81  switch (N) {
82  case 1 : {
83  det = *p;
84  if (doassert) GMM_ASSERT1(det!=T(0), "non invertible matrix");
85  if (det == T(0)) break;
86  *p = T(1) / det;
87  } break;
88  case 2 : {
89  det = (*p) * (*(p+3)) - (*(p+1)) * (*(p+2));
90  if (doassert) GMM_ASSERT1(det!=T(0), "non invertible matrix");
91  if (det == T(0)) break;
92  std::swap(*p, *(p+3));
93  *p++ /= det; *p++ /= -det; *p++ /= -det; *p++ /= det;
94  } break;
95  default : {
96  if (N == 3) { // not stable for nearly singular matrices
97  T a, b, c, d, e, f, g, h, i;
98  a = (*(p+4)) * (*(p+8)) - (*(p+5)) * (*(p+7));
99  b = - (*(p+1)) * (*(p+8)) + (*(p+2)) * (*(p+7));
100  c = (*(p+1)) * (*(p+5)) - (*(p+2)) * (*(p+4));
101  d = - (*(p+3)) * (*(p+8)) + (*(p+5)) * (*(p+6));
102  e = (*(p+0)) * (*(p+8)) - (*(p+2)) * (*(p+6));
103  f = - (*(p+0)) * (*(p+5)) + (*(p+2)) * (*(p+3));
104  g = (*(p+3)) * (*(p+7)) - (*(p+4)) * (*(p+6));
105  h = - (*(p+0)) * (*(p+7)) + (*(p+1)) * (*(p+6));
106  i = (*(p+0)) * (*(p+4)) - (*(p+1)) * (*(p+3));
107  det = (*p) * a + (*(p+1)) * d + (*(p+2)) * g;
108  if (std::abs(det) > 1e-5) {
109  *p++ = a / det; *p++ = b / det; *p++ = c / det;
110  *p++ = d / det; *p++ = e / det; *p++ = f / det;
111  *p++ = g / det; *p++ = h / det; *p++ = i / det;
112  break;
113  }
114  }
115  dense_matrix<T> B(mat_nrows(A), mat_ncols(A));
116  lapack_ipvt ipvt(mat_nrows(A));
117  gmm::copy(A, B);
118  size_type info = lu_factor(B, ipvt);
119  GMM_ASSERT1(!info, "non invertible matrix");
120  lu_inverse(B, ipvt, A);
121  det = lu_det(B, ipvt);
122  break;
123  }
124  }
125  }
126  return det;
127  }
128 
129 
130 }
131 
132 #endif // GMM_OPT_H__
bgeot::size_type
size_t size_type
used as the common size type in the library
Definition: bgeot_poly.h:49
gmm_dense_lu.h
LU factorizations and determinant computation for dense matrices.

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