Algorithm Visualizer is a PyQt6-based desktop application designed to help users understand and visualize various algorithms, including graph algorithms (BFS, DFS, and Greedy Coloring) and linear ...

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 ...

Welcome to the repository accompanying the paper Exploring the Potential of Graph Neural Networks-based Methods for General Linear Program. This project features a website that demonstrates how ...

The weighted maximal planar graph (WMPG) is practically important in the laying out of facilities in modern manufacturing environments. Given a weighted complete graph, the WMPG seeks to find a ...

A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++. The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a ...

@article{RAW10, title={Message-passing for graph-structured linear programs: proximal methods and rounding schemes}, author={P. Ravikumar and A. Agarwal and M. J. Wainwright}, volume={11}, ...

@inproceedings{RAW08, title={Message-passing for graph-structured linear programs: Proximal projections, convergence and rounding schemes}, author={P. Ravikumar and A. Agarwal and M. J. Wainwright}, ...