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  /external/eigen/unsupported/Eigen/src/NonLinearOptimization/
HybridNonLinearSolver.h 91 FVectorType fvec, qtf, diag; member in class:Eigen::HybridNonLinearSolver
149 qtf.resize(n);
226 /* form (q transpose)*fvec and store in qtf. */
227 qtf = fjac.transpose() * fvec;
235 internal::dogleg<Scalar>(R, diag, qtf, delta, wa1);
258 wa3 = R.template triangularView<Upper>()*wa1 + qtf;
323 /* and update qtf if necessary. */
327 qtf = wa2;
333 internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens);
386 qtf.resize(n)
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LevenbergMarquardt.h 101 FVectorType fvec, qtf, diag; member in class:Eigen::LevenbergMarquardt
176 qtf.resize(n);
242 /* qtf. */
245 qtf = wa4.head(n);
252 gnorm = (std::max)(gnorm, internal::abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
265 internal::lmpar2<Scalar>(qrfac, diag, qtf, delta, par, wa1);
383 // Only R is stored in fjac. Q is only used to compute 'qtf', which is
384 // Q.transpose()*rhs. qtf will be updated using givens rotation,
392 qtf.resize(n);
434 /* n components in qtf. *
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