Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2023
Abstract
One of the most important theories in linear programming is the dualistic theory and its basic idea is that for every linear model has dual linear model, so that solving the original linear model gives a solution to the dual model. Therefore, when we solving the linear programming model, we actually obtain solutions for two linear models. In this research, we present a study of the models. The neutrosophic dual and the binary simplex algorithm, which works to find the optimal solution for the original and dual models at the same time. The importance of this algorithm is evident in that it is relied upon in several operations research topics, such as integer programming algorithms, some nonlinear programming algorithms, and sensitivity analysis in linear programming.
Language (ISO)
English
Keywords
Neutrosophic Science, Neutrosophic Linear Models, Dual Models, Neutrosophic dual Linear Models, binary Simplex Algorithm
Recommended Citation
Jdid, Maissam Ahmad and Florentin Smarandache. "Neutrosophic Treatment of Duality Linear Models and the Binary Simplex Algorithm." (2023). https://digitalrepository.unm.edu/math_fsp/625
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
