Statistical physics of inference: Thresholds and algorithms
Many questions of fundamental interest in today's science can be formulated as inference
problems: some partial, or noisy, observations are performed over a set of variables and the …
problems: some partial, or noisy, observations are performed over a set of variables and the …
Random -satisfiability problem: From an analytic solution to an efficient algorithm
We study the problem of satisfiability of randomly chosen clauses, each with K Boolean
variables. Using the cavity method at zero temperature, we find the phase diagram for the K …
variables. Using the cavity method at zero temperature, we find the phase diagram for the K …
Extremal optimization
S Boettcher - New optimization algorithms in physics, 2004 - Wiley Online Library
Physical processes have inspired many optimization heuristics. Most famously, variants of
simulated annealing and genetic algorithms are widely used tools for the exploration of …
simulated annealing and genetic algorithms are widely used tools for the exploration of …
Threshold values of random K‐SAT from the cavity method
Using the cavity equations of Mézard, Parisi, and Zecchina Science 297 (2002), 812;
Mézard and Zecchina, Phys Rev E 66 (2002), 056126 we derive the various threshold …
Mézard and Zecchina, Phys Rev E 66 (2002), 056126 we derive the various threshold …
Two Solutions to Diluted p-Spin Models and XORSAT Problems
We derive analytical solutions for p-spin models with finite connectivity at zero temperature.
These models are the statistical mechanics equivalent of p-XORSAT problems in theoretical …
These models are the statistical mechanics equivalent of p-XORSAT problems in theoretical …
Ferromagnetic ordering in graphs with arbitrary degree distribution
We present a detailed study of the phase diagram of the Ising model in random graphs with
arbitrary degree distribution. By using the replica method we compute exactly the value of …
arbitrary degree distribution. By using the replica method we compute exactly the value of …
Statistical mechanics methods and phase transitions in optimization problems
Recently, it has been recognized that phase transitions play an important role in the
probabilistic analysis of combinatorial optimization problems. However, there are in fact …
probabilistic analysis of combinatorial optimization problems. However, there are in fact …
Coloring random graphs
We study the graph coloring problem over random graphs of finite average connectivity c.
Given a number q of available colors, we find that graphs with low connectivity admit almost …
Given a number q of available colors, we find that graphs with low connectivity admit almost …
Replica bounds for optimization problems and diluted spin systems
S Franz, M Leone - Journal of Statistical Physics, 2003 - Springer
In this paper we generalize to the case of diluted spin models and random combinatorial
optimization problems a technique recently introduced by Guerra (cond-mat/0205123) to …
optimization problems a technique recently introduced by Guerra (cond-mat/0205123) to …
[BOOK][B] Granular physics
A Mehta - 2007 - books.google.com
The field of granular physics has burgeoned since its development in the late 1980s, when
physicists first began to use statistical mechanics to study granular media. They are …
physicists first began to use statistical mechanics to study granular media. They are …