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Full Description
Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Since the number of such algorithms is steadily increasing, many new algorithms have not been presented comprehensively until now. This presentation of recently developed algorithms applied in physics, including demonstrations of how they work and related results, aims to encourage their application, and as such the algorithms selected cover concepts and methods from statistical physics to optimization problems emerging in theoretical computer science.
Contents
Part I: Application in Physics
-Cluster Monte Carlo algorithms (Werner Krauth)
-Probing spin glasses with heuristic optimization algorithms (Olivier C. Martin)
-Computing Exact Ground-States of Hard Ising Spin-Glass Problems by Branch-and-Cut (Frauke Liers, Michael Jünger, Gerhard Reinelt, Giovanni Rinaldi)
-Counting States and Counting Operations (A. Alan Middleton)
-Computing Potts' free energy and submodular functions (J.-C. Anglès d' Auriac)
Part II: Phase transitions in combinatorial optimization problems
-The random 3-satisfiability problem: From the phase transition to the efficient generation of hard, but satisfiable problem instances (Martin Weigt)
-Analysis of backtracking procedures for random decision problems
(Simona Cocco, Liat Ein-Dor, and Rémi Monasson)
-New iterative algorithms for hard combinatorial problems (Riccardo Zecchina)
Part III: New heuristics and interdisciplinary applications
-Hysteretic optimization (Károly F. Pál)
-Extremal Optimization (Stefan Boettcher)
-Sequence Alignments (Alexander K. Hartmann)
-Protein Folding In Silico -
The Quest for Better Algorithms (Ulrich H. E. Hansmann)
