Title: Review of Numerical Optimization and Linear Programming: A Comprehensive Overview
Authors: Abbas Musleh salman and Ahmed Hadi Hussain
Volume: 9
Issue: 2
Pages: 54-57
Publication Date: 2025/02/28
Abstract:
Numerical optimization in linear programming is one of the most important mathematical techniques used to find the optimal solution to problems involving a linear objective function and linear constraints. This field focuses on finding the best (maximum or minimum) value of the objective function, given a set of constraints that define the range of possible solutions. Numerical optimization and linear programming are fundamental tools in mathematics and computer science, enabling solutions to a wide range of real-world problems. From supply chain logistics to portfolio management to machine learning, these techniques provide effective ways to optimize operations, allocate resources, and make data-driven decisions.