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Implementation of Newton method for solving system of non-linear equations. More...
Implementation of Newton method for solving system of non-linear equations.
Definition in file newton.hpp.
Go to the source code of this file.
Namespaces | |
| nmodl | |
| encapsulates code generation backend implementations  | |
| nmodl::newton | |
| newton solver implementations  | |
Functions | |
| template<int N> | |
| EIGEN_DEVICE_FUNC bool | nmodl::newton::is_converged (const Eigen::Matrix< double, N, 1 > &X, const Eigen::Matrix< double, N, N > &J, const Eigen::Matrix< double, N, 1 > &F, double eps) | 
| template<int N, typename FUNC > | |
| EIGEN_DEVICE_FUNC int | nmodl::newton::newton_solver (Eigen::Matrix< double, N, 1 > &X, FUNC functor, double eps=EPS, int max_iter=MAX_ITER) | 
| Newton method with user-provided Jacobian.  More... | |
| template<typename FUNC , int N> | |
| EIGEN_DEVICE_FUNC int | nmodl::newton::newton_solver_small_N (Eigen::Matrix< double, N, 1 > &X, FUNC functor, double eps, int max_iter) | 
Newton method template specializations for \(N <= 4\) Use explicit inverse of F instead of LU decomposition.  More... | |
| template<typename FUNC > | |
| EIGEN_DEVICE_FUNC int | nmodl::newton::newton_solver (Eigen::Matrix< double, 1, 1 > &X, FUNC functor, double eps=EPS, int max_iter=MAX_ITER) | 
| template<typename FUNC > | |
| EIGEN_DEVICE_FUNC int | nmodl::newton::newton_solver (Eigen::Matrix< double, 2, 1 > &X, FUNC functor, double eps=EPS, int max_iter=MAX_ITER) | 
| template<typename FUNC > | |
| EIGEN_DEVICE_FUNC int | nmodl::newton::newton_solver (Eigen::Matrix< double, 3, 1 > &X, FUNC functor, double eps=EPS, int max_iter=MAX_ITER) | 
| template<typename FUNC > | |
| EIGEN_DEVICE_FUNC int | nmodl::newton::newton_solver (Eigen::Matrix< double, 4, 1 > &X, FUNC functor, double eps=EPS, int max_iter=MAX_ITER) | 
Variables | |
| static constexpr int | nmodl::newton::MAX_ITER = 50 | 
| static constexpr double | nmodl::newton::EPS = 1e-13 |