/dports/math/geogram/geogram-1.7.7/src/lib/geogram/numerics/ |
H A D | matrix_util.cpp | 59 const double* mat, index_t n, double* eigen_vec, double* eigen_val in semi_definite_symmetric_eigen() argument 214 eigen_val[i] = a[k]; in semi_definite_symmetric_eigen() 228 double x = eigen_val[i]; in semi_definite_symmetric_eigen() 232 if(x < eigen_val[j]) { in semi_definite_symmetric_eigen() 234 x = eigen_val[j]; in semi_definite_symmetric_eigen() 238 eigen_val[k] = eigen_val[i]; in semi_definite_symmetric_eigen() 239 eigen_val[i] = x; in semi_definite_symmetric_eigen()
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/dports/graphics/blender/blender-2.91.0/source/blender/freestyle/intern/geometry/ |
H A D | matrix_util.cpp | 45 void semi_definite_symmetric_eigen(const double *mat, int n, double *eigen_vec, double *eigen_val) in semi_definite_symmetric_eigen() argument 205 eigen_val[i] = a[k]; in semi_definite_symmetric_eigen() 218 x = eigen_val[i]; in semi_definite_symmetric_eigen() 222 if (x < eigen_val[j]) { in semi_definite_symmetric_eigen() 224 x = eigen_val[j]; in semi_definite_symmetric_eigen() 228 eigen_val[k] = eigen_val[i]; in semi_definite_symmetric_eigen() 229 eigen_val[i] = x; in semi_definite_symmetric_eigen()
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H A D | matrix_util.h | 56 void semi_definite_symmetric_eigen(const double *mat, int n, double *eigen_vec, double *eigen_val);
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/dports/graphics/opencv/opencv-4.5.3/samples/cpp/tutorial_code/ml/introduction_to_pca/ |
H A D | introduction_to_pca.cpp | 68 vector<double> eigen_val(2); in getOrientation() local 74 eigen_val[i] = pca_analysis.eigenvalues.at<double>(i); in getOrientation() 81 ….02 * Point(static_cast<int>(eigen_vecs[0].x * eigen_val[0]), static_cast<int>(eigen_vecs[0].y * e… in getOrientation() 82 ….02 * Point(static_cast<int>(eigen_vecs[1].x * eigen_val[1]), static_cast<int>(eigen_vecs[1].y * e… in getOrientation()
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/dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/filters/include/pcl/filters/impl/ |
H A D | voxel_grid_covariance.hpp | 272 Eigen::Matrix3d eigen_val; in applyFilter() local 330 eigen_val = eigensolver.eigenvalues ().asDiagonal (); in applyFilter() 333 if (eigen_val (0, 0) < 0 || eigen_val (1, 1) < 0 || eigen_val (2, 2) <= 0) in applyFilter() 341 min_covar_eigvalue = min_covar_eigvalue_mult_ * eigen_val (2, 2); in applyFilter() 342 if (eigen_val (0, 0) < min_covar_eigvalue) in applyFilter() 344 eigen_val (0, 0) = min_covar_eigvalue; in applyFilter() 346 if (eigen_val (1, 1) < min_covar_eigvalue) in applyFilter() 348 eigen_val (1, 1) = min_covar_eigvalue; in applyFilter() 351 leaf.cov_ = leaf.evecs_ * eigen_val * leaf.evecs_.inverse (); in applyFilter() 353 leaf.evals_ = eigen_val.diagonal (); in applyFilter()
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/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/atoms/ |
H A D | log_det.py | 98 eigen_val = LA.eigvalsh(X) 99 if np.min(eigen_val) > 0:
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/dports/math/geogram/geogram-1.7.7/src/lib/geogram/mesh/ |
H A D | mesh_manifold_harmonics.h | 97 double eigen_val, const double* eigen_vector,
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/dports/math/py-theano/Theano-1.0.5/theano/sandbox/linalg/tests/ |
H A D | test_linalg.py | 96 eigen_val = numpy.linalg.eig(m) 97 assert (eigen_val[0].max() - radius_bound_theano) < tol
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/dports/graphics/blender/blender-2.91.0/source/blender/blenkernel/intern/ |
H A D | mesh_remap.c | 197 float eigen_val[3], eigen_vec[3][3]; in mesh_calc_eigen_matrix() local 227 eigen_success = BLI_eigen_solve_selfadjoint_m3((const float(*)[3])covmat, eigen_val, eigen_vec); in mesh_calc_eigen_matrix() 232 if (compare_ff_relative(eigen_val[0], eigen_val[1], FLT_EPSILON, 64)) { in mesh_calc_eigen_matrix() 233 if (compare_ff_relative(eigen_val[0], eigen_val[2], FLT_EPSILON, 64)) { in mesh_calc_eigen_matrix() 246 else if (compare_ff_relative(eigen_val[0], eigen_val[2], FLT_EPSILON, 64)) { in mesh_calc_eigen_matrix() 250 else if (compare_ff_relative(eigen_val[1], eigen_val[2], FLT_EPSILON, 64)) { in mesh_calc_eigen_matrix() 256 float evi = eigen_val[i]; in mesh_calc_eigen_matrix()
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/dports/math/couenne/Couenne-releases-0.5.8/Couenne/src/cut/sdpcuts/ |
H A D | CouenneSdpCuts.hpp | 167 const int evidx, const double eigen_val,
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H A D | CutGenSparse.cpp | 532 const int evidx, const double eigen_val, in sparsify() argument
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/ |
H A D | ActiveSubspaceModel.cpp | 651 RealMatrix::scalarType eigen_val = singular_values[i] * singular_values[i]; in compute_bing_li_criterion() local 652 bing_li_criterion[i] = eigen_val; in compute_bing_li_criterion() 653 eigen_sum += eigen_val; in compute_bing_li_criterion()
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