Persistent Topological Laplacians
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore the cutting-edge developments in topological data analysis (TDA) through this comprehensive lecture on persistent topological Laplacians (PTLs). Delve into the limitations of persistent homology (PH) and discover how PTLs address these challenges. Learn about various types of PTLs, including persistent Laplacians, persistent path Laplacians, persistent sheaf Laplacians, persistent hypergraph Laplacians, persistent hyperdigraph Laplacians, and evolutionary de Rham-Hodge theory. Understand how these advanced tools, when combined with artificial intelligence algorithms, have been applied to uncover the mechanisms of SARS-CoV-2 evolution and accurately forecast emerging dominant variants. Gain insights into the exponential growth of TDA's impact in sciences and engineering, and its ability to handle complex, high-dimensional, nonlinear, and multiscale data.
Syllabus
Guo-Wei Wei (4/28/2023): Persistent Topological Laplacians
Taught by
Applied Algebraic Topology Network
Related Courses
Topological Data Analysis - New Perspectives on Machine Learning - by Jesse JohnsonOpen Data Science via YouTube Analyzing Point Processes Using Topological Data Analysis
Applied Algebraic Topology Network via YouTube MD Simulations and Machine Learning to Quantify Interfacial Hydrophobicity
Applied Algebraic Topology Network via YouTube Topological Data Analysis of Plant-Pollinator Resource Complexes - Melinda Kleczynski
Applied Algebraic Topology Network via YouTube Hubert Wagner - Topological Data Analysis in Non-Euclidean Spaces
Applied Algebraic Topology Network via YouTube