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 ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

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 ...

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 ...

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

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 ...