Iterative algorithms for solving undiscounted bellman equations
- 1 January 1990
- journal article
- research article
- Published by Taylor & Francis in Numerical Functional Analysis and Optimization
- Vol. 11 (1) , 149-166
- https://doi.org/10.1080/01630569008816367
Abstract
A new class of iterative algorithms for solving undiscounted Bellman equations is proposed in this article, Such algorithms are proved to be particularly useful in handling “degenerate” equations. For simplicity of presentation and for motivation of basic ideas, the algorithms are introduced in terms of three control problems, one optimal stopping time problem and two singular stochastic control problems. The convergence and rates of convergence are obtained. These results are based on the introduction of a performance index of approximation, which makes new algorithms differ from the existing ones for solving regular undiscounted Bellman equations in the control literature.Keywords
This publication has 7 references indexed in Scilit:
- Applications of fixed-point methods to discrete variational and quasi-variational inequalitiesNumerische Mathematik, 1987
- Singular control problems in bounded intervalsStochastics, 1987
- An optimal stopping time problem with time average cost in a bounded intervalSystems & Control Letters, 1986
- Contraction mappings underlying undiscounted Markov decision problemsJournal of Mathematical Analysis and Applications, 1978
- Deterministic and Stochastic Optimal ControlPublished by Springer Nature ,1975
- Iterative solution of the functional equations of undiscounted Markov renewal programmingJournal of Mathematical Analysis and Applications, 1971
- Dynamic programming, Markov chains, and the method of successive approximationsJournal of Mathematical Analysis and Applications, 1963