Journal of Optimization Theory and Applications

, Volume 12, Issue 4, pp 423–438 | Cite as

Dynamic programming and parallel computers

  • J. Casti
  • M. Richardson
  • R. Larson
Article

Abstract

The computational theory of dynamic programming is examined from the viewpoint of parallel computation. A discussion of various forms of parallelism, the corresponding parallel algorithms, the applicability of the algorithms to different types of optimization problems, and their advantages over serial computation is presented. In addition, parallel aspects of various dimensionality reduction techniques such as state increment dynamic programming, successive approximations, and shift vectors are also given.

Keywords

Parallel Algorithm Successive Approximation Shift Vector State Increment Serial Computation 

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References

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Additional Bibliography

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    Karp, R., andMiller, R.,Parallel Program Schemata, Journal of Computer and System Science, Vol. 3, 1969.Google Scholar
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    Tabak, D.,Computational Improvement of Dynamic Programming by Multi-processing Computers, IEEE Transactions on Automatic Control, Vol. AC-13, No. 5, 1968.Google Scholar

Copyright information

© Plenum Publishing Corporation 1973

Authors and Affiliations

  • J. Casti
    • 1
  • M. Richardson
    • 1
  • R. Larson
    • 1
  1. 1.Technical Operations, Systems ControlPalo Alto

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