Abstract: 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 ...

Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

I wish I had a nickel for every article I've read announcing the “Death of Linear TV.” Is there nonlinear TV? Choose your own adventure programming? No, there’s not. Generally, when someone talks ...

Forever ensnared in a love-fued between 1800s literature and modern gaming, Eman Fatima tries her best to appease both her hobbies by tapping away at her keyboard and writing about her favorite games ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

"[PuLP](http://pythonhosted.org/PuLP/) is an open source linear programming package for python. PuLP can be installed using pip, instructions [here](http ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives.