YoVDO

Graph Connectivity Using Star Contraction

Offered By: Simons Institute via YouTube

Tags

Graph Theory Courses Randomized Algorithms Courses Complexity Theory Courses Sublinear Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 31-minute lecture by Sagnik Mukhopadhyay from the University of Birmingham on graph connectivity using star contraction. Delve into the complexity of determining edge connectivity in simple graphs with cut queries. Discover a bounded-error randomized algorithm that computes edge connectivity with O(n) cut queries and a quantum algorithm achieving O(√n) cut queries. Learn about the novel star contraction technique for randomly contracting edges while preserving non-trivial minimum cuts. Compare this method to the 2-out contraction technique and understand its efficient implementation via cut queries. Examine the implications of these findings for connectivity problems, symmetric submodular function minimization, and quantum-classical separations in graph algorithms. Gain insights into the joint work with Simon Apers, Yuval Efron, Pawel Gawrychowski, Troy Lee, and Danupon Nanongkai, as presented at FOCS 2022.

Syllabus

Graph Connectivity Using Star Contraction


Taught by

Simons Institute

Related Courses

Sampling-Based Sublinear Low-Rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning
Association for Computing Machinery (ACM) via YouTube
Sublinear Algorithms for Gap Edit Distance
IEEE via YouTube
High Dimensional Robust Sparse Regression
Simons Institute via YouTube
Learning-Augmented Sketches for Frequency Estimation
Simons Institute via YouTube
Adaptive Sparse Recovery with Limited Adaptivity
Simons Institute via YouTube