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 ...

We ran a piece last year summarizing an IEEE study of programming-language popularity based on job listings. This article fostered conversation, including debates about whether the languages IEEE used ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

This primer is tailored for individuals new to macroeconomic policy analysis, including policymakers, economic analysts, and other professionals seeking to deepen their understanding of macroeconomic ...

The C language has been a programming staple for decades. Here’s how it stacks up against C++, Java, C#, Go, Rust, Python, and the newest kid on the block—Carbon. The C programming language has been ...

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

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 ...

Over the past few weeks, we've been discussing programming language popularity here on ZDNET. Most recently, I aggregated data from nine different rankings to produce the ZDNET Index of Programming ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. Regardless of your career choice, you will always need a ...