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STATIONARY‐STATE SOLUTIONS IN MULTI‐PERIOD LINEAR PROGRAMMING PROBLEMS

STATIONARY‐STATE SOLUTIONS IN MULTI‐PERIOD LINEAR PROGRAMMING PROBLEMS Multi‐period linear programming models are classified initially. The main interest of this paper is in models of cyclical activity. The conditions under which such models lead to stable repetitive optimal solutions are defined. A simple technique is presented by which this stable solution (termed here the "stable core") can be derived without recourse to solving a full extended matrix. Firm‐level applications of this model in agriculture are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Australian Journal of Agricultural Resource Economics Wiley

STATIONARY‐STATE SOLUTIONS IN MULTI‐PERIOD LINEAR PROGRAMMING PROBLEMS

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Publisher
Wiley
Copyright
Copyright © 1967 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1364-985X
eISSN
1467-8489
DOI
10.1111/j.1467-8489.1967.tb00039.x
Publisher site
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Abstract

Multi‐period linear programming models are classified initially. The main interest of this paper is in models of cyclical activity. The conditions under which such models lead to stable repetitive optimal solutions are defined. A simple technique is presented by which this stable solution (termed here the "stable core") can be derived without recourse to solving a full extended matrix. Firm‐level applications of this model in agriculture are discussed.

Journal

The Australian Journal of Agricultural Resource Economics – Wiley

Published: Dec 1, 1967

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