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 ...

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 ...

Excel is a spreadsheet program that allows users to enter data into cells, perform calculations, and format the data visually, and is popular amongst both business owners and casual users. One of the ...

Line graphs are a great way to organize and present your data. If you use Microsoft Excel to compile, present, and analyze data, then you're in luck – Excel has a handy feature that allows you to ...

Excel is a widely used spreadsheet software that allows users to analyze and visualize data effectively. One common use of Excel is creating graphs with multiple lines to showcase trends or ...

This can also be taught using R (no previous experience required). In this hands-on class, you will learn the fundamentals of applying linear regression to business data using Excel. In survey after ...

The emergence of deep learning has not only brought great changes in the field of image recognition, but also achieved excellent node classification performance in graph neural networks. However, the ...

Through a supervised project on bike sales, I had the opportunity to collaborate with the renowned YouTuber, @AlexTheAnalyst, to enhance my proficiency in data analysis using MS Excel.