Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Multi-Parameter Persistent Homology is Practical

Applied Algebraic Topology Network via YouTube

Overview

Explore the practical applications of multi-parameter persistent homology in topological data analysis through this comprehensive lecture. Delve into recent algorithmic advancements that address the computational challenges of processing large datasets in this field. Learn about two key developments: the optimization of Lesnick and Wright's algorithm for computing minimal presentations of persistence modules, and an asymptotically fast method for calculating the exact matching distance. Gain insights into how these innovations are bridging the gap between theoretical research and real-world applications, making multi-parameter persistent homology more accessible and practical for data analysis tasks.

Syllabus

Michael Kerber (12/08/2021): Multi-Parameter Persistent Homology is Practical

Taught by

Applied Algebraic Topology Network

Reviews

Start your review of Multi-Parameter Persistent Homology is Practical

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.