Optimization of random cost functions and statistical physics

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Montanari, Andrea
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866929218203418624
author Montanari, Andrea
author_facet Montanari, Andrea
contents This is the text of my report presented at the 29th Solvay Conference on Physics on `The Structure and Dynamics of Disordered Systems' held in Bruxelles from October 19 to 21, 2023. I consider the problem of minimizing a random energy function $H(σ)$, where $σ$ is an $N$-dimensional vector, in the high-dimensional regime $N\gg 1$. Using as a reference point a 1986 paper by Fu and Anderson, I take stock of the progress on this question over the last 40 years. In particular, I focus on the influence and ramifications of ideas originating from statistical physics. My own conclusion is that several of the most fundamental questions in this area (which in 1986 were barely formulated) have now received mathematically rigorous answers, at least in simple -- yet highly nontrivial -- settings. Instrumental to this spectacular progress was the dialogue between different research communities: physics, computer science, mathematics.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11348
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimization of random cost functions and statistical physics
Montanari, Andrea
Disordered Systems and Neural Networks
This is the text of my report presented at the 29th Solvay Conference on Physics on `The Structure and Dynamics of Disordered Systems' held in Bruxelles from October 19 to 21, 2023. I consider the problem of minimizing a random energy function $H(σ)$, where $σ$ is an $N$-dimensional vector, in the high-dimensional regime $N\gg 1$. Using as a reference point a 1986 paper by Fu and Anderson, I take stock of the progress on this question over the last 40 years. In particular, I focus on the influence and ramifications of ideas originating from statistical physics. My own conclusion is that several of the most fundamental questions in this area (which in 1986 were barely formulated) have now received mathematically rigorous answers, at least in simple -- yet highly nontrivial -- settings. Instrumental to this spectacular progress was the dialogue between different research communities: physics, computer science, mathematics.
title Optimization of random cost functions and statistical physics
topic Disordered Systems and Neural Networks
url https://arxiv.org/abs/2401.11348