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1
Introduction
2
Sampling
3
Minimize
4
Random Financial Model
5
Replicameter
6
How does it work
7
Computation
8
Replica symmetric assumption
9
Ex extremum
10
Algorithm
11
Exercise
12
QA
Description:
Explore the intersection of statistical physics and high-dimensional computation in this lecture by Florent Krzakala and Lenka Zdeborova. Delve into topics such as sampling, minimization, random financial models, and the replica method. Learn about the replica symmetric assumption, ex extremum, and algorithmic approaches. Gain insights into probability, geometry, and computation in high dimensions through practical exercises and a Q&A session.

Statistical Physics and Computation in High Dimension

Simons Institute
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