| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| HybridNonLinearSolver.h | 91 FVectorType fvec, qtf, diag; member in class:Eigen::HybridNonLinearSolver
149 qtf.resize(n);
228 /* form (q transpose)*fvec and store in qtf. */
229 qtf = fjac.transpose() * fvec;
237 internal::dogleg<Scalar>(R, diag, qtf, delta, wa1);
260 wa3 = R.template triangularView<Upper>()*wa1 + qtf;
325 /* and update qtf if necessary. */
329 qtf = wa2;
335 internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens);
388 qtf.resize(n)
[all...] |
| LevenbergMarquardt.h | 101 FVectorType fvec, qtf, diag; member in class:Eigen::LevenbergMarquardt
176 qtf.resize(n);
245 /* qtf. */
248 qtf = wa4.head(n);
255 gnorm = (std::max)(gnorm, abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
268 internal::lmpar2<Scalar>(qrfac, diag, qtf, delta, par, wa1);
386 // Only R is stored in fjac. Q is only used to compute 'qtf', which is
387 // Q.transpose()*rhs. qtf will be updated using givens rotation,
395 qtf.resize(n);
440 /* n components in qtf. *
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/ |
| LevenbergMarquardtOptimizer.java | 261 double[] qtf = new double[rows]; local
275 qtf[i]=wresiduals[i];
285 qTy(qtf);
323 sum += wjacobian[i][pj] * qtf[i];
358 determineLMParameter(qtf, delta, diag, work1, work2, work3);
[all...] |
