CMP Center for multidisciplinary research on optimization and inference

This is the distribution package of MSGSTEINER 1.0

The permission to use this software is granted by the authors, Alfredo
Braunstein and Riccardo Zecchina, only on the following 5 conditions:

This is code for biological data analysis using a multi-state diluted discrete perceptron.
It contains also a matlab mex implementation.

SBPI is an algorithm implementing the extremely simple learning protocol for networks with binary synapses reported in Efficient supervised learning in networks with binary synapses.

The version named SBPI-MPI is a parallelized version which can be run on a cluster, using the MPI parallelization library.

This is the code associated with Learning by message-passing in networks of discrete synapses

This is the Survey Propagation C source code, plus some old revisions. Survey Propagation is a generalization of Belief Propagation that is able to solve huge random SAT formulae close to the SAT/UNSAT threshold.

See Companion article.