Computer Programming Language Solution to a Transportation Problem Involving a Concave Cost Function

Jude, Opara and Akpofure, Ojekudo, Nathaniel (2022) Computer Programming Language Solution to a Transportation Problem Involving a Concave Cost Function. Asian Research Journal of Mathematics, 18 (12). pp. 141-154. ISSN 2456-477X

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Abstract

The work is on computer programming language solution to a transportation problem involving a concave cost function. Two computer programming languages; Wolfram Mathematica and Anaconda Python programming tools were employed in this study to effectively solve four real life examples from published works. The results from the programming languages yielded an optimal value of N253,000 with an optimal solution as z12 = 13, z22 = 5, z23 = 8, z31 = 11 and z33 = 4 in the first example and the remaining three examples were successfully solved with optimal values of N377,000, GH¢ 236,000 and N509,000 respectively, and the results agreed with the results of existing Karush-Kuhn-Tucker (KKT) procedure of Modified Distribution Method.

Item Type: Article
Subjects: Journal Eprints > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 14 Jan 2023 13:11
Last Modified: 01 Mar 2024 04:05
URI: http://repository.journal4submission.com/id/eprint/1603

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