Skip to main content
Log in

Deterministic discrete dynamic programming with discount factor greater than one: Some further results and algorithms

  • Published:
Zeitschrift für Operations Research Aims and scope Submit manuscript

Summary

The theory of deterministic discrete dynamic programming with discount factorα>1 is further developed. A result is derived that establishes a connection between dynamic programming withα<1 and dynamic programming withα>1. This result, in conjunction with a state classification scheme, yields an efficient algorithm computing an optimal policy. The limiting caseα=1 is also briefly discussed.

Zusammenfassung

Die Theorie der deterministischen, diskreten dynamischen Programmierung mit Diskontierungsfaktorα>1 wird weiterentwickelt. Ein Resultat über die Verbindung zwischen dynamischer Programmierung mitα>1 und dynamischer Programmierung mitα<1 wird hergestellt. Zusammen mit einem Klassifizierungschema des Zustandraumes ergibt sich dann ein wirkungsvolles Optimierungsverfahren. Der Grenzfallα=1 wird kurz behandelt.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Blackwell, D.: Discrete Dynamic Programming. Annals of Mathematical Statistics33, 719–726, 1962.

    Google Scholar 

  • de Ghellinck, G.: Les Problèmes de Décisions Séquentielles, Cahiers Centre D'Etudes Recherche Opérationelle2, 161–179, 1960.

    Google Scholar 

  • Derman, C.: Finite State Markovian Decision Processes. Academic Press, 1970.

  • Dirickx, Y. M. I.: Deterministic Discrete Dynamic Programming with Discount Factor Greter than One — Structure of Optimal Policies. Management Science20, No. 1, September 1973a.

  • -: On the Paradox of the Indefinitely Postponed Splurge, in preparation, 1973 b.

  • Dirickx, Y. M. I., andM. R. Rao: Networks with Gains in Discrete Dynamic Programming, IIM-Preprint Series I/72–40, forthcoming in Management Science, 1973.

  • Fox, B. L., andD. M. Landi: An Algorithm for Identifying the Ergodic Subchains and Transient States of a Stochastic Matrix. Communications of the ACM11, 619–621, 1968.

    Google Scholar 

  • Howard, R. A.: Dynamic Programming and Markov Processes, The M. I. T. Press, 1960.

  • Jewell, W. S.: Optimal Flows Through Networks with Gains. Operations Research10, 476–499, 1962.

    Google Scholar 

  • Koopmans, T. C.: Objectives, Constraints, and Outcomes in Optimal Growth Models, Econometrica35, 1–15, 1967.

    Google Scholar 

  • Manne, A. S.: On Linear Programming in a Markov Decision Problem. Management Science16, 281–288, 1960.

    Google Scholar 

  • Wagner, H. M.: Principles of Operations Research with Applications to Managerial Decisions. Prentice-Hall, 1969.

  • Whitt, W.: Dynamic Programming: Final Examination, January 1971, Department of Administrative Sciences, Yale University.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dirickx, Y.M.I. Deterministic discrete dynamic programming with discount factor greater than one: Some further results and algorithms. Zeitschrift für Operations Research 18, 69–76 (1974). https://doi.org/10.1007/BF01949716

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01949716

Keywords

Navigation