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Title: Bounds on discrete dynamic programming recursions. II. Polynomial bounds on problems with block-triangular structure (English)
Author: Sladký, Karel
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 17
Issue: 4
Year: 1981
Pages: 310-328
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Category: math
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MSC: 90C39
MSC: 90C40
idZBL: Zbl 0466.90084
idMR: MR643918
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Date available: 2009-09-24T17:22:17Z
Last updated: 2012-06-05
Stable URL: http://hdl.handle.net/10338.dmlcz/124353
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Related article: http://dml.cz/handle/10338.dmlcz/125305
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Reference: [2] D. Blackwell: Discrete dynamic programming.Ann. Math. Statist. 33 (1962), 2, 719-726. Zbl 0133.12906, MR 0149965
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Reference: [4] R. A. Howard: Dynamic Programming and Markov Processes.M.I.T. and Wiley Press, New York 1960. Zbl 0091.16001, MR 0118514
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Reference: [6] K. Sladký: On the set of optimal controls for Markov chains with rewards.Kybernetika 10 (1974), 4, 350-367. MR 0378842
Reference: [7] K. Sladký: Bounds on discrete dynamic programming recursions I - Models with non-negative matrices.Kybernetika 16 (1980), 6, 526 - 547. MR 0607292
Reference: [8] K. Sladký: On the existence of stationary optimal policies in discrete dynamic programming.Submitted to Kybernetika.
Reference: [9] K. Sladký: On Functional Equations of Discrete Dynamic Programming with Non-Negative Matrices.Research Report No. 900, Institute of Information Theory and Automation, Prague 1978.
Reference: [10] K. Sladký: On functional equations of discrete dynamic programming.In preparation.
Reference: [11] A. F. Veinott, Jr.: On finding optimal policies in discrete dynamic programming with no discounting.Ann. Math. Statist. 57(1966), 5, 1284-1294. Zbl 0149.16301, MR 0208992
Reference: [12] A. F. Veinott, Jr.: Discrete dynamic programming with sensitive discount optimality criteria.Ann. Math. Statist. 40 (1969), 5, 1635-1660. Zbl 0183.49102, MR 0256712
Reference: [13] W. H. M. Zijms: Generalized Eigenvectors and Sets of Nonnegative Matrices.Memorandum Cosor 80 - 03, Eindhoven University of Technology, Eindhoven 1980.
Reference: [14] W. H. M. Zijms: Maximizing the Growth of the Utility Vector in a Dynamic Programming Model.Memorandum Cosor 80 - 04, Eindhoven University of Technology, Eindhoven 1980.
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