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A note on the Solution of spatial Price and Allocation Models
Author(s) -
Rowse John G.
Publication year - 1980
Publication title -
canadian journal of agricultural economics/revue canadienne d'agroeconomie
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.505
H-Index - 37
eISSN - 1744-7976
pISSN - 0008-3976
DOI - 10.1111/j.1744-7976.1980.tb01954.x
Subject(s) - nonlinear system , mathematical optimization , computer science , nonlinear programming , class (philosophy) , minos , quadratic equation , software , mathematical economics , quadratic programming , economics , mathematics , artificial intelligence , programming language , physics , geometry , quantum mechanics , nuclear physics , neutrino , neutrino oscillation
Models of spatial and temporal price and allocation have enjoyed widespread acceptance in agricultural economics and continue to be employed, refined and extended in the literature. In this journal, for instance, contributions have been made by Yaron et al. [16], Ghosh [2], Baumes and McCarl [1] and Jenson and Piedrahita [4]. It is the purpose of this note to draw attention to a versatile and computationally efficient nonlinear programming system called MINOS, as yet little known outside the operations research community, for the solution of nonlinear price and allocation models — including the widely applied special class of quadratic programming models. This software system has several features which very strongly commend its use to the practitioner and have already led to its adoption for solving nonlinear models by Manne [7] and Rowse [10], among others. A skeletal outline of several of the principal advantages of the MINOS system follows and an example of its use in solving a small nonlinear model is provided.