| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| lmpar.h | 34 Matrix< Scalar, Dynamic, 1 > wa1, wa2; local
60 wa2 = diag.cwiseProduct(x);
61 dxnorm = wa2.blueNorm();
75 wa1[j] = diag[l] * (wa2[l] / dxnorm);
117 wa2 = diag.cwiseProduct(x);
118 dxnorm = wa2.blueNorm();
131 wa1[j] = diag[l] * (wa2[l] / dxnorm);
189 Matrix< Scalar, Dynamic, 1 > wa1, wa2; local
206 wa2 = diag.cwiseProduct(x);
207 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);
200 wa2 = fjac.colwise().blueNorm();
207 diag[j] = (wa2[j]==0.) ? 1. : wa2[j];
231 diag = diag.cwiseMax(wa2);
239 wa2 = x + wa1;
247 if ( functor(wa2, wa4) < 0)
287 x = wa2;
288 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);
221 wa2 = fjac.colwise().blueNorm();
231 diag[j] = (wa2[j]==0.)? 1. : wa2[j];
251 if (wa2[permutation.indices()[j]] != 0.)
252 gnorm = (std::max)(gnorm, internal::abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
260 diag = diag.cwiseMax(wa2);
269 wa2 = x + wa1;
277 if ( functor(wa2, wa4) < 0
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