Multi-Parameter Persistent Homology is Practical

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.

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