| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LMpar.h | 55 VectorType wa1, wa2; local
73 wa2 = diag.cwiseProduct(x);
74 dxnorm = wa2.blueNorm();
86 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2)/dxnorm;
120 wa2 = diag.cwiseProduct(x);
121 dxnorm = wa2.blueNorm();
132 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2/dxnorm);
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| lmpar.h | 36 Matrix< Scalar, Dynamic, 1 > wa1, wa2; local
62 wa2 = diag.cwiseProduct(x);
63 dxnorm = wa2.blueNorm();
77 wa1[j] = diag[l] * (wa2[l] / dxnorm);
119 wa2 = diag.cwiseProduct(x);
120 dxnorm = wa2.blueNorm();
133 wa1[j] = diag[l] * (wa2[l] / dxnorm);
193 Matrix< Scalar, Dynamic, 1 > wa1, wa2; local
210 wa2 = diag.cwiseProduct(x);
211 dxnorm = wa2.blueNorm()
[all...] |
| HybridNonLinearSolver.h | 113 FVectorType wa1, wa2, wa3, wa4; member in class:Eigen::HybridNonLinearSolver
147 wa1.resize(n); wa2.resize(n); wa3.resize(n); wa4.resize(n);
202 wa2 = fjac.colwise().blueNorm();
209 diag[j] = (wa2[j]==0.) ? 1. : wa2[j];
233 diag = diag.cwiseMax(wa2);
241 wa2 = x + wa1;
249 if ( functor(wa2, wa4) < 0)
289 x = wa2;
290 wa2 = diag.cwiseProduct(x)
[all...] |
| LevenbergMarquardt.h | 115 FVectorType wa1, wa2, wa3, wa4; member in class:Eigen::LevenbergMarquardt
169 wa1.resize(n); wa2.resize(n); wa3.resize(n);
224 wa2 = fjac.colwise().blueNorm();
234 diag[j] = (wa2[j]==0.)? 1. : wa2[j];
254 if (wa2[permutation.indices()[j]] != 0.)
255 gnorm = (std::max)(gnorm, abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
263 diag = diag.cwiseMax(wa2);
272 wa2 = x + wa1;
280 if ( functor(wa2, wa4) < 0
[all...] |
