Searched refs:fjac (Results 1 - 9 of 9) sorted by relevance

/external/eigen/unsupported/test/
H A DNonLinearOptimization.cpp17 int fcn_chkder(const VectorXd &x, VectorXd &fvec, MatrixXd &fjac, int iflag) argument
51 fjac(i,0) = -1.;
52 fjac(i,1) = tmp1*tmp2/tmp4;
53 fjac(i,2) = tmp1*tmp3/tmp4;
64 MatrixXd fjac(m,n);
71 internal::chkder(x, fvec, fjac, xp, fvecp, 1, err);
72 fcn_chkder(x, fvec, fjac, 1);
73 fcn_chkder(x, fvec, fjac, 2);
74 fcn_chkder(xp, fvecp, fjac, 1);
75 internal::chkder(x, fvec, fjac, x
262 df(const VectorXd &x, MatrixXd &fjac) argument
650 df(const VectorXd &b, MatrixXd &fjac) argument
734 df(const VectorXd &b, MatrixXd &fjac) argument
815 df(const VectorXd &b, MatrixXd &fjac) argument
909 df(const VectorXd &b, MatrixXd &fjac) argument
984 df(const VectorXd &b, MatrixXd &fjac) argument
1072 df(const VectorXd &b, MatrixXd &fjac) argument
1149 df(const VectorXd &b, MatrixXd &fjac) argument
1228 df(const VectorXd &b, MatrixXd &fjac) argument
1307 df(const VectorXd &b, MatrixXd &fjac) argument
1395 df(const VectorXd &b, MatrixXd &fjac) argument
1480 df(const VectorXd &b, MatrixXd &fjac) argument
1564 df(const VectorXd &b, MatrixXd &fjac) argument
1660 df(const VectorXd &b, MatrixXd &fjac) argument
1748 df(const VectorXd &b, MatrixXd &fjac) argument
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H A Dlevenberg_marquardt.cpp42 int df(const VectorXd &x, MatrixXd &fjac) const
51 fjac(i,0) = -1;
52 fjac(i,1) = tmp1*tmp2/tmp4;
53 fjac(i,2) = tmp1*tmp3/tmp4;
126 // std::cout << fjac*covfac << std::endl;
132 // VERIFY_IS_APPROX( covfac*fjac.topLeftCorner<n,n>() , cov_ref);
229 // std::cout << fjac*covfac << std::endl;
235 // VERIFY_IS_APPROX( covfac*fjac.topLeftCorner<n,n>() , cov_ref);
255 int df(const VectorXd &b, MatrixXd &fjac) argument
258 assert(fjac
339 df(const VectorXd &b, MatrixXd &fjac) argument
421 df(const VectorXd &b, MatrixXd &fjac) argument
515 df(const VectorXd &b, MatrixXd &fjac) argument
590 df(const VectorXd &b, MatrixXd &fjac) argument
678 df(const VectorXd &b, MatrixXd &fjac) argument
755 df(const VectorXd &b, MatrixXd &fjac) argument
834 df(const VectorXd &b, MatrixXd &fjac) argument
913 df(const VectorXd &b, MatrixXd &fjac) argument
1001 df(const VectorXd &b, MatrixXd &fjac) argument
1086 df(const VectorXd &b, MatrixXd &fjac) argument
1170 df(const VectorXd &b, MatrixXd &fjac) argument
1266 df(const VectorXd &b, MatrixXd &fjac) argument
1354 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,
48 fjac.col(j) = (wa1-fvec)/h;
67 fjac.col(j).setZero();
70 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);
215 Index df_ret = functor.df(x, fjac);
224 wa2 = fjac.colwise().blueNorm();
225 ColPivHouseholderQR<JacobianType> qrfac(fjac);
226 fjac = qrfac.matrixQR();
255 gnorm = (std::max)(gnorm, abs( fjac.col(j).head(j+1).dot(qtf.head(j+1)/fnorm) / wa2[permutation.indices()[j]]));
292 wa3 = fjac.template triangularView<Upper>() * (qrfac.colsPermutation().inverse() *wa1);
386 // Only R is stored in fjac. Q is only used to compute 'qtf', which is
391 fjac
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H A DHybridNonLinearSolver.h92 JacobianType fjac; member in class:Eigen::HybridNonLinearSolver
150 fjac.resize(n, n);
198 if ( functor.df(x, fjac) < 0)
202 wa2 = fjac.colwise().blueNorm();
220 HouseholderQR<JacobianType> qrfac(fjac); // no pivoting:
225 /* accumulate the orthogonal factor in fjac. */
226 fjac = qrfac.householderQ();
229 qtf = fjac.transpose() * fvec;
327 wa2 = fjac.transpose() * wa4;
334 internal::r1mpyq<Scalar>(n, n, fjac
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H A Dchkder.h12 const Matrix< Scalar, Dynamic, Dynamic > &fjac,
49 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
/external/eigen/test/
H A DdenseLM.cpp78 int df(const VectorType& uv, JacobianType& fjac) argument
83 eigen_assert(fjac.rows() == m);
84 eigen_assert(fjac.cols() == n);
92 fjac.coeffRef(j,i) = -std::exp(-(m_x(j)-i)*(m_x(j)-i)/(v(i)*v(i)));
93 fjac.coeffRef(j,i+half) = -2.*u(i)*(m_x(j)-i)*(m_x(j)-i)/(std::pow(v(i),3)) * std::exp(-(m_x(j)-i)*(m_x(j)-i)/(v(i)*v(i)));
H A DsparseLM.cpp83 int df(const VectorType& uv, JacobianType& fjac) argument
88 eigen_assert(fjac.rows() == m);
89 eigen_assert(fjac.cols() == n);
104 fjac.coeffRef(row,col) = -(1-coeff)*(1-coeff);
117 fjac.coeffRef(row,col+half) = -4 * (u(col)/v(col))*coeff*(1-coeff);

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