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Information, Physics, and Computation

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ISBN-10: 019857083X

ISBN-13: 9780198570837

Edition: 2009

Authors: Marc M�zard, Andrea Montanari

List price: $96.00
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This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances andadopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction…    
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Book details

List price: $96.00
Copyright year: 2009
Publisher: Oxford University Press, Incorporated
Publication date: 3/27/2009
Binding: Hardcover
Pages: 584
Size: 6.97" wide x 10.00" long x 1.32" tall
Weight: 2.838
Language: English

The random energy model
Definition of the model
Thermodynamics of the REM
The condensation phenomenon
A comment on quenched and annealed averages
The random subcube model
The random code ensemble
Code ensembles
The geometry of the random code ensemble
Communicating over a binary symmetric channel
Error-free communication with random codes
Geometry again: Sphere packing
Other random codes
A remark on coding theory and disordered systems
Appendix: Proof of Lemma 6.2
Number partitioning
A fair distribution into two groups?
Algorithmic issues
Partition of a random list: Experiments
The random cost model
Partition of a random list: Rigorous results
Introduction to replica theory
Replica solution of the random energy model
The fully connected p-spin glass model
Extreme value statistics and the REM
Appendix: Stability of the RS saddle point
Models on Graphs
Factor graphs and graph ensembles
Factor graphs
Ensembles of factor graphs: Definitions
Random factor graphs: Basic properties
Random factor graphs: The giant component
The locally tree-like structure of random graphs
The satisfiability problem
Random K-satisfiability ensembles
Random 2-SAT
The phase transition in random K(&gtq; 3)-SAT
Low-density parity-check codes
The geometry of the codebook
LDPC codes for the binary symmetric channel
A simple decoder: Bit flipping
Spin glasses
Spin glasses and factor graphs
Spin glasses: Constraints and frustration
What is a glass phase?
An example: The phase diagram of the SK model
Bridges: Inference and the Monte Carlo method
Statistical inference
The Monte Carlo method: Inference via sampling
Free-energy barriers
Short-Range Correlations
Belief propagation
Two examples
Belief propagation on tree graphs
Optimization: Max-product and min-sum
Loopy BP
General message-passing algorithms
Probabilistic analysis
Decoding with belief propagation
BP decoding: The algorithm
Analysis: Density evoluation
BP decoding for an erasure channel
The Bethe free energy and MAP decoding
The assignment problem
The assignment problem and random assignment ensembles
Message passing and its probabilistic analysis
A polynomial message-passing algorithm
Combinatorial results
An exercise: Multi-index assignment
Ising models on random graphs
The BP equations for Ising spins
RS cavity analysis
Ferromagnetic model
Spin glass models
Long-Range Correlations
Linear equations with Boolean variables
Definitions and general remarks
Belief propagation
Core percolation and BP
The Sat-Unsat threshold in random Xorsat
The Hard-Sat phase: Clusters of solutions
An alternative approach: The cavity method
The 1RSB cavity method
Beyond BP: Many states
The 1RSB cavity equations
A first application: Xorsat
The special value x=1
Survey propagation
The nature of 1RSB phases
Appendix: The SP(y) equations for Xorsat
Random K-satisfiability
Belief propagation and the replica-symmetric analysis
Survey propagation and the 1RSB phase
Some ideas about the full phase diagram
An exercise: Colouring random graphs
Glassy states in coding theory
Local search algorithms and metastable states
The binary erasure channel
General binary memoryless symmetric channels
Metastable states and near-codewords
An ongoing story
Gibbs measures and long-range correlations
Higher levels of replica symmetry breaking
Phase structure and the behaviour of algorithms
Symbols and notation
Equivalence relations
Orders of growth
Combinatorics and probability
Summary of mathematical notation
Information theory
Factor graphs
Cavity and message-passing methods