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 ...

This course, presented by the Institute for Capacity Development, explains how to diagnose macroeconomic imbalances and correct them through a coordinated set of adjustment policies. It covers the ...

IBM ILOG CPLEX Optimizer is a tool for solving linear optimization problems, commonly referred to as Linear Programming (LP) problems. The CPLEX Python API is a Python package named cplex that allows ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

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 ...

Researchers at UAB, the University of Cincinnati and Spaulding Rehabilitation Hospital are collaborating to develop the Para-Athlete Research for Wellness, Injury Prevention and Sports Medicine ...

Young software engineers from Elon Musk’s Department of Government Efficiency (DOGE) continue to infiltrate U.S. government agencies with the stated goal of eliminating what the Trump White House ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...