December 2013
Intermediate to advanced
208 pages
5h 40m
English
book
Fast Sequential Monte Carlo Methods for Counting and Optimization
by Reuven Y. Rubinstein, Ad Ridder, Radislav Vaisman
Content preview from Fast Sequential Monte Carlo Methods for Counting and Optimization
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Abbreviations and Acronyms
| BMC | basic Monte Carlo |
| BME | basic MinxEnt |
| cdf | cumulative distribution function |
| CAP-RECAP | capture-recapture |
| CE | cross-entropy |
| CMC | crude Monte Carlo |
| CNF | conjunctive normal form |
| DNF | disjunctive normal form |
| ECM | exponential change of measure |
| FPAUS | fully polynomial almost uniform sampler |
| FPRAS | fully polynomial randomized approximation scheme |
| HMC | hanging edges Monte Carlo |
| IME | indicator MinxEnt |
| iid | independent and identically distributed |
| MCMC | Markov chain Monte Carlo |
| MDP | Markov decision process |
| MinxEnt | minimum cross-entropy |
| OSLA | one-step-look-ahead |
 SLA |
 -step-look-ahead |
| probability density function (both discrete and continuous) | |
| PMC | permutation Monte Carlo |
| RE | relative error |
| RL | reinforced learning |
| SA | stochastic approximation |
| SAT | satisfiability (problem) |
| SAW | self-avoiding walk |
| SE | stochastic enumeration |
| SIS | sequential importance sampling |
| SMC | sequential Monte Carlo |
| TSP | traveling salesman problem |
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