An improved finite element meshing strategy for dynamic optimization problems
DOI10.1155/2017/4829195zbMath1426.90248OpenAlexW2739240916WikidataQ59147574 ScholiaQ59147574MaRDI QIDQ1992793
Junjie Hu, Haokun Wang, Quannan Zhang, Minliang Gong, Aipeng Jiang, Yinghui Lin
Publication date: 5 November 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/4829195
Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Dynamic programming (90C39) Error bounds for boundary value problems involving PDEs (65N15) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Discrete approximations in optimal control (49M25)
Cites Work
- Unnamed Item
- Unnamed Item
- A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints
- Nonlinear Programming
- Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
- Line Search Filter Methods for Nonlinear Programming: Local Convergence
This page was built for publication: An improved finite element meshing strategy for dynamic optimization problems