Quantization of Measures - A Gradient Flow Approach
Offered By: ICTP Mathematics via YouTube
Course Description
Overview
Explore a rigorous mathematical lecture on the quantization of measures using gradient flow techniques. Delve into advanced concepts presented by M. Iacobelli from the University of Cambridge as part of the Advanced School & Workshop on Nonlocal Partial Differential Equations and Applications to Geometry, Physics and Probability. Gain insights into this complex topic through a 50-minute presentation that bridges the fields of mathematics, physics, and probability theory.
Syllabus
Quantization of measures: A gradient flow approach
Taught by
ICTP Mathematics
Related Courses
Design of Computer ProgramsStanford University via Udacity Intro to Statistics
Stanford University via Udacity Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX Mathematical Biostatistics Boot Camp 1
Johns Hopkins University via Coursera Statistics
San Jose State University via Udacity