Classical Derivation of the Necessary and Sufficient Conditions for Optimal Linear Programs
Hamdy A. Taha and
Guy L. Curry
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Hamdy A. Taha: University of Arkansas, Fayetteville, Arkansas
Guy L. Curry: University of Arkansas, Fayetteville, Arkansas
Operations Research, 1971, vol. 19, issue 4, 1045-1050
Abstract:
This paper presents a new derivation of the key ideas of Dantzig's simplex algorithm by using the differential approach to nonlinear programming. Specifically, the necessary condition shows that a candidate for the optimum is a basic feasible solution, while the sufficiency condition indicates that the optimality indicator ( c j − z j ) for nonbasic variables x j must be nonpositive (nonnegative) in order for a maximization (minimization) linear program to be optimal.
Date: 1971
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:19:y:1971:i:4:p:1045-1050
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