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AN ARCHETYPAL LINEAR PROGRAMMING MODEL FOR OPTIMAL INTERTEMPORAL ALLOCATION OF GROUNDWATR TO AGRICULTURAL ACTIVITIES 1
Author(s) -
Weisz Reuben N.,
Towle Charles L.
Publication year - 1977
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1977.tb03868.x
Subject(s) - linear programming , stochastic programming , dynamic programming , mathematical optimization , variety (cybernetics) , linear fractional programming , stock (firearms) , computer science , optimal control , set (abstract data type) , operations research , mathematics , engineering , mechanical engineering , artificial intelligence , programming language
In the past, researchers have applied a variety of analytical techniques for maximizing the present value of a stock resource ‐ simulation, calculus of variations, stochastic dynamic programming, and optimal control theory. This paper presents a more operational approach ‐ linear programming. A simplified, broadly drawn example from Southwest agriculture is used for demonstrating the model's structure and output. The method is based on a set of state transformation operations that prevent the additivity assumption of linear programming from being violated.