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Searched defs:fjac (Results 1 - 8 of 8) sorted by relevance

/external/eigen/unsupported/Eigen/src/NonLinearOptimization/
H A D	chkder.h	`12 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`
H A D	fdjac1.h	`10 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 D	HybridNonLinearSolver.h	`92 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 [all...]`
H A D	LevenbergMarquardt.h	102 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 [all...]
/external/eigen/test/
H A D	sparseLM.cpp	`83 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);`
H A D	denseLM.cpp	`78 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)));`
/external/eigen/unsupported/test/
H A D	levenberg_marquardt.cpp	42 int df(const VectorXd &x, MatrixXd &fjac) const 51 fjac(i,0) = -1; 52 fjac(i,1) = tmp1tmp2/tmp4; 53 fjac(i,2) = tmp1tmp3/tmp4; 126 // std::cout << fjaccovfac << std::endl; 132 // VERIFY_IS_APPROX( covfacfjac.topLeftCorner<n,n>() , cov_ref); 229 // std::cout << fjaccovfac << std::endl; 235 // VERIFY_IS_APPROX( covfacfjac.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 [all...]
H A D	NonLinearOptimization.cpp	17 int fcn_chkder(const VectorXd &x, VectorXd &fvec, MatrixXd &fjac, int iflag) argument 51 fjac(i,0) = -1.; 52 fjac(i,1) = tmp1tmp2/tmp4; 53 fjac(i,2) = tmp1tmp3/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 [all...]

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