A superlinearly convergent constrained min-max algorithm for rival models of the same system
DOI10.1016/0898-1221(89)90097-7zbMath0669.90028OpenAlexW2028540808MaRDI QIDQ1119151
Publication date: 1989
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0898-1221(89)90097-7
global convergenceconvexificationoptimal policyeconomic systemmin-max, worst-case designQ-superlinear convergence rate
Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Quadratic programming (90C20) Economic growth models (91B62) Existence of solutions for minimax problems (49J35)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimal fixed rules and simple feedback laws in the design of economic policy
- Projection methods in constrained optimisation and applications to optimal policy decisions
- An algorithm for convex constrained minimax optimization based on duality
- On a class of differential games
- CONOPT: A GRG code for large sparse dynamic nonlinear optimization problems
- A Projected Lagrangian Algorithm for Nonlinear Minimax Optimization
- New algorithms for constrained minimax optimization
- An Efficient Method to Solve the Minimax Problem Directly
- A general saddle point result for constrained optimization
- A dual approach to solving nonlinear programming problems by unconstrained optimization
- Minimax solution of the multiple-target problem
This page was built for publication: A superlinearly convergent constrained min-max algorithm for rival models of the same system