A Benchmarking Framework for Geometric Random Walks
Chrthegreat
Sampling from high-dimensional convex polytopes is a fundamental problem with applications in statistics, machine learning, optimization, and systems...
Dynamic Volume Updating of Convex Polytopes via Random-Walk Sampling
Iva Janković
This project explores the problem of estimating how the volume of a high-dimensional convex polytope changes under sequential constraint additions....
Benchmark Polytope Import Suite For Volesti
JimmysPavlou
This project aims to develop a Benchmark Polytope Import Suite for the volesti library, enabling automated conversion of standard Linear Programming...
Counting linear extensions with volume computation and applications in AI
Ke Shih
This project will implement a new volume-based approach for approximately counting linear extensions of partially ordered sets in volesti. The core...