CEest.m | Estimates the probability that the minimum of independent beta random variables is greater than a given threshold via CE. Uses minbeta.m. |

CESAT.m | Solves a SAT problem via CE. Uses sC.c (must be compiled first). SATdata.mat contains the example used in the book. |

minbeta.m | Given a matrix, returns the smallest element in each row. |

MLE (folder) | Computes the MLE for Dirichlet data via the CE method. |

peaks (folder) | Contains examples of the CE method for optimization of the non-noisy and the noisy peaks function. |

SATdata.mat | Contains the SAT instance used in the book. Load into the workspace via "load SATdata.mat". |

sC.c | Evaluates the SAT score function efficiently, given a *sparse* matrix. Must first be compiled within Matlab, using "mex sC.c". |

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