Neutrosophic augmented Lagrange multipliers method Nonlinear Programming Problems Constrained by Inequalities

Authors

  • Maissam Jdid Faculty of Science, Damascus University, Damascus, Syria
  • Florentin Smarandache University of New Mexico ،Mathematics, Physics and Natural Sciences Division 705 Gurley Ave., Gallup, NM 87301, USA
  • Takaaki Fujita Independent Researcher, Shinjuku, Shinjuku-ku, Tokyo, Japan

Keywords:

Operations research; nonlinear programming; Lagrange multipliers; neutrosophic science; neutrosophic nonlinear programming; neutrosophic augmented Lagrange multipliers method.

Abstract

Operations research uses scientific methods that take the language of mathematics as a basis and uses the 
computer, without which it would not be possible to achieve numerical solutions to the problems raised. It is concerned 
with applying scientific methods to complex issues in the management and direction of large systems in various fields 
and private and governmental businesses in peace and war in politics, management, economics, planning and 
implementation and in all aspects of life. In issues that require sound solutions, when solutions are numerous and options 
are multiple, we need a decision based on sound scientific foundations that take into account all the circumstances and 
changes that the decision maker may face during the course of work, and help him make a decision that leaves nothing 
to chance or luck. For this reason, operations research has provided many methods that help us transform life issues into 
mathematical models whose optimal solution is the appropriate decision. The nonlinear programming method is one of 
the most important methods presented by operations research because most problems, when modeled, result in a 
nonlinear model, which prompted many students and researchers to search for appropriate scientific methods to solve 
these models. One of the most important and most widely used of these methods is the Lagrange multipliers method. 

 

DOI: 10.5281/zenodo.14897457

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Published

2025-04-01

How to Cite

Maissam Jdid, Florentin Smarandache, & Takaaki Fujita. (2025). Neutrosophic augmented Lagrange multipliers method Nonlinear Programming Problems Constrained by Inequalities. Neutrosophic Sets and Systems, 81, 741-752. https://fs.unm.edu/nss8/index.php/111/article/view/5929

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