Solving linear programming problem using approximate optimization method

https://doi.org/10.53730/ijhs.v6nS1.6043

Authors

  • Nadia Ali Abbas Almosa College of Information Technology, Networking Department, University of Babylon, Iraq
  • Ahmed Sabah Al-Jilawi College of Education for Pure Sciences, Department of Mathematics, University of Babylon, Iraq

Keywords:

Linear programming, Duality in linear programming, Approximations with Taylor Series , Python language

Abstract

In this paper, we will define optimization, linear programming, and the duality of linear programming and demonstrate them in practice through several examples in which the Python language was used to display the final outputs using codes for various libraries. We will also illustrate the method of approximation to Tyler by defining the strategy and demonstrating it in practice through an example.

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Alridha, A. H., & Al-Jilawi, A. S. (2022). Solving NP-hard problems using a new relaxation of approximate methods. International Journal of Health Sciences, 6(S3), 523–536. https://doi.org/10.53730/ijhs.v6nS3.5375 DOI: https://doi.org/10.53730/ijhs.v6nS3.5375

Published

19-04-2022

How to Cite

Almosa, N. A. A., & Al-Jilawi, A. S. (2022). Solving linear programming problem using approximate optimization method. International Journal of Health Sciences, 6(S1), 5258–5270. https://doi.org/10.53730/ijhs.v6nS1.6043

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Section

Peer Review Articles