Searched refs:fjac (Results 1 - 6 of 6) sorted by relevance

/external/eigen/unsupported/test/
H A DNonLinearOptimization.cpp15 int fcn_chkder(const VectorXd &x, VectorXd &fvec, MatrixXd &fjac, int iflag) argument
49 fjac(i,0) = -1.;
50 fjac(i,1) = tmp1*tmp2/tmp4;
51 fjac(i,2) = tmp1*tmp3/tmp4;
62 MatrixXd fjac(m,n);
69 internal::chkder(x, fvec, fjac, xp, fvecp, 1, err);
70 fcn_chkder(x, fvec, fjac, 1);
71 fcn_chkder(x, fvec, fjac, 2);
72 fcn_chkder(xp, fvecp, fjac, 1);
73 internal::chkder(x, fvec, fjac, x
260 df(const VectorXd &x, MatrixXd &fjac) argument
648 df(const VectorXd &b, MatrixXd &fjac) argument
732 df(const VectorXd &b, MatrixXd &fjac) argument
811 df(const VectorXd &b, MatrixXd &fjac) argument
903 df(const VectorXd &b, MatrixXd &fjac) argument
978 df(const VectorXd &b, MatrixXd &fjac) argument
1066 df(const VectorXd &b, MatrixXd &fjac) argument
1143 df(const VectorXd &b, MatrixXd &fjac) argument
1222 df(const VectorXd &b, MatrixXd &fjac) argument
1301 df(const VectorXd &b, MatrixXd &fjac) argument
1389 df(const VectorXd &b, MatrixXd &fjac) argument
1474 df(const VectorXd &b, MatrixXd &fjac) argument
1555 df(const VectorXd &b, MatrixXd &fjac) argument
1651 df(const VectorXd &b, MatrixXd &fjac) argument
1739 df(const VectorXd &b, MatrixXd &fjac) argument
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H A DNumericalDiff.cpp53 int actual_df(const VectorXd &x, MatrixXd &fjac) const
62 fjac(i,0) = -1;
63 fjac(i,1) = tmp1*tmp2/tmp4;
64 fjac(i,2) = tmp1*tmp3/tmp4;
/external/eigen/unsupported/Eigen/src/NonLinearOptimization/
H A Dfdjac1.h10 Matrix< Scalar, Dynamic, Dynamic > &fjac,
45 fjac.col(j) = (wa1-fvec)/h;
64 fjac.col(j).setZero();
67 fjac.col(j).segment(start, length) = ( wa1.segment(start, length)-fvec.segment(start, length))/h;
6 fdjac1( const FunctorType &Functor, Matrix< Scalar, Dynamic, 1 > &x, Matrix< Scalar, Dynamic, 1 > &fvec, Matrix< Scalar, Dynamic, Dynamic > &fjac, DenseIndex ml, DenseIndex mu, Scalar epsfcn) argument
H A DLevenbergMarquardt.h102 JacobianType fjac; member in class:Eigen::LevenbergMarquardt
172 fjac.resize(m, n);
212 Index df_ret = functor.df(x, fjac);
221 wa2 = fjac.colwise().blueNorm();
222 ColPivHouseholderQR<JacobianType> qrfac(fjac);
223 fjac = qrfac.matrixQR();
252 gnorm = (std::max)(gnorm, internal::abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
289 wa3 = fjac.template triangularView<Upper>() * (qrfac.colsPermutation().inverse() *wa1);
383 // Only R is stored in fjac. Q is only used to compute 'qtf', which is
388 fjac
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H A DHybridNonLinearSolver.h92 JacobianType fjac; member in class:Eigen::HybridNonLinearSolver
150 fjac.resize(n, n);
196 if ( functor.df(x, fjac) < 0)
200 wa2 = fjac.colwise().blueNorm();
218 HouseholderQR<JacobianType> qrfac(fjac); // no pivoting:
223 /* accumulate the orthogonal factor in fjac. */
224 fjac = qrfac.householderQ();
227 qtf = fjac.transpose() * fvec;
325 wa2 = fjac.transpose() * wa4;
332 internal::r1mpyq<Scalar>(n, n, fjac
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H A Dchkder.h12 const Matrix< Scalar, Dynamic, Dynamic > &fjac,
45 err += temp * fjac.col(j);
9 chkder( const Matrix< Scalar, Dynamic, 1 > &x, const Matrix< Scalar, Dynamic, 1 > &fvec, const Matrix< Scalar, Dynamic, Dynamic > &fjac, Matrix< Scalar, Dynamic, 1 > &xp, const Matrix< Scalar, Dynamic, 1 > &fvecp, int mode, Matrix< Scalar, Dynamic, 1 > &err ) argument

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