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Implementing the recursive APL code for dynamic programming
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Source International Conference on APL archive
Conference proceedings on APL 90: for the future table of contents
Copenhagen, Denmark
Pages: 239 - 250  
Year of Publication: 1990
ISBN:0-89791-371-X
Also published in ...
Authors
Edward Y. H. Lin  Faculty of Administration, University of New Brunswick, Fredericton, New Brunswick E3B 5A3, Canada
Dennis L. Bricker  Department of Industrial Engineering, The University of Iowa, Iowa City, Iowa
Sponsors
SIGAPL: ACM Special Interest Group on APL Programming Language
Danish Data Assn. :
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 13,   Downloads (12 Months): 34,   Citation Count: 2
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ABSTRACT

Despite the importance and wide applicability of dynamic programming technique in optimization, the complexity and uniqueness of various dynamic programming models often make the comprehension of their solution procedures difficult, particularly for a novice. Although it can be argued that, unlike the Simplex method in linear programming, no general dynamic programming algorithm exists, with the recursive capability of APL, it is feasible to develop a “systematic” solution approach for deterministic dynamic programming. In this paper, we introduce a set of such APL code developed be solve various types of dynamic programming problems with minor modifications on some of its key functions to accommodate the nature of each type of dynamic programming problems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bellman, R., Dynumic Progrumming, R-in- University Press, 1957.
 
2
Dmardo, E.. Dynamic Progrcamming Models Md Applicdonr, h&e-Hal, 1982.
 
3
Howard, R. A., "Dynamic Prop amming", Monogemeti Science, 12.5, pp. 317448.1966.
 
4
Nemhauser, G., Introdudon to Dynamic Programming, John Wiley & Sons, 1966.
 
5
Wagner, H. M. and Whitin, T. M.. "Dynamic Version of the Economic Lot Size Model", Munugement Science, pp. 89-96. 1958.


Collaborative Colleagues:
Edward Y. H. Lin: colleagues
Dennis L. Bricker: colleagues