Localization Methods - Perspectives on Initialization and Optimization - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Intro
The localization problem, mathematically
Localization, via linear algebra
Observations and choices
A simple 1d example
Real space vs periodic approximation
Periodic copies and Fourier transforms
The MLWF approach (abridged history)
Key challenges / shortcomings
A new formulation density convolution
Properties
The approximation, informally
Systematic approximation
Truncated density convolution (TDC)
A single optimization trajectory
Random initializations BaTiO3
Taught by
Institute for Pure & Applied Mathematics (IPAM)