linear_programming_practice In this repository, practice code is stored for a research project on optimizing solar power for the electrical grid. There are different possible objectives, but a current ...

Linear programming is a mathematical technique used to optimize a system with linear constraints. This repository offers Python implementations of two powerful methods for solving linear programming ...

Learn about the challenges and limitations of linear and nonlinear programming in practice, and how to overcome them with suitable models, methods, and tools.

Many Optimization problems in engineering and economic involve the challenging task of pondering both conflicting goals and random data. In this paper, we give an up-to-date overview of how important ...

In this paper we report on the solution to optimality of 10 large-scale zero-one linear programming problems. All problem data come from real-world industrial applications and are characterized by ...

Discover a new approach for solving linear fractional programming problems without relying on the simplex method. Explore the transformation of LFP problems into LP problems and the concept of duality ...

We propose a linear programming method that is based on active-set changes and proximal-point iterations. The method solves a sequence of least-distance problems using a warm-started quadratic ...

Job-shop scheduling is an important but difficult problem arising in low-volume high-variety manufacturing. It is usually solved at the beginning of each shift with strict computational time ...