Algorithms for solving discrete optimal control problems with infinite time horizon and determining minimal mean cost cycles in a directed graph as decision support tool
DOI10.1007/s10100-009-0090-6zbMath1204.90108OpenAlexW2074425623MaRDI QIDQ623763
Stefan Pickl, Dmitrii D. Lozovanu
Publication date: 8 February 2011
Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10100-009-0090-6
time-discrete systemdiscrete control with infinite time horizonenvironmental decision problemminimal mean cost cycle in a digraphstationary control
Programming involving graphs or networks (90C35) Fractional programming (90C32) Linear programming (90C05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Functional equations in the theory of dynamic programming. XI: Limit theorems
- Algorithms and the calculation of Nash equilibria for multi-objective control of time-discrete systems and polynomial-time algorithms for dynamic \(c\)-games on networks
- An approach for an algorithmic solution of discrete optimal control problems and their game-theoretical extension
- A characterization of the minimum cycle mean in a digraph
- Algorithms for finding the minimum cycle mean in the weighted directed graph
- Nash equilibria for multiobjective control of time-discrete systems and polynomial-time algorithms for \(k\)-partite networks
- Optimization and Multiobjective Control of Time-Discrete Systems
- ON A NEW APPROACH TO THE NUMERICAL SOLUTION OF A CLASS OF PARTIAL DIFFERENTIAL INTEGRAL EQUATIONS OF TRANSPORT THEORY
This page was built for publication: Algorithms for solving discrete optimal control problems with infinite time horizon and determining minimal mean cost cycles in a directed graph as decision support tool