MINIMIZATION-PROBLEM-WITH-LINEAR-PROGRAMMING This project explores how to solve a real-world linear programming minimization problem using Python. The objective is to find the optimal production ...

The SimplexMethod package provides an efficient implementation of the Simplex Algorithm for solving linear programming (LP) problems. It supports both maximization and minimization of objective ...

The problem of PAPR minimization is well-studied in the literature. However, most of the algorithms have high computational costs, making them impractical for real-time applications. To that end, we ...

We illustrate some recent results on exact solutions to discrete-time l1-norm minimization problems with convolution constraints. A fixed-point property for thi ...

Learn how to apply robust linear programming, a method that handles uncertainty and variability in supply chain optimization problems, by using uncertainty sets and protection levels.

Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...