This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Graphene is considered one of the most important breakthroughs in material science since its discovery. This “wonder material” was widely overhyped, and still hasn’t lived up to its ...

This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is ...

Add a description, image, and links to the linear-programming-problem topic page so that developers can more easily learn about it ...

Identity management for cybersecurity is inherently a complex graph problem due to the vast, dynamic, and interconnected nature of modern IT environments.

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...

After reducing the dimension of the linear programming problem using the subset of the essential constraints, the solution method can be chosen from any suitable method for linear programming. The ...

This notebook serves as an introduction to Linear Programming with Python, covering both the concepts and practical applications through various popular optimization problems ...

To grasp what makes Rust so useful, it’s worth taking a peek beneath the hood at how programming languages deal with computer memory. You could, very crudely, think of the dynamic memory in a ...