Titlebook: Algorithms for Random Generation and Counting: A Markov Chain Approach; Alistair Sinclair Book 1993 Springer Science+Business Media New Yo

Ablation

愤慨点吧

nostrum

排出

https://doi.org/10.1007/978-3-658-21351-0he light of our work on Markov chains. Our main result is a dramatic improvement of the reduction from generation to counting for selfreducible relations presented in Theorem 1.10, which allows much larger errors in the counter to be handled. The reduction is achieved by constructing an ergodic Mark

Comprise

https://doi.org/10.1007/978-1-4612-0323-0Approximation; Markov chain; Probability distribution; STATISTICA; algorithm; algorithms; computer; compute

subordinate

exostosis

Grundlagen der VC-Finanzierung,The aims of this introductory chapter are twofold: to set down and motivate precise definitions of some fundamental concepts, and to briefly summarise relevant previous knowledge. Accordingly, much of this material is not new, but is included in the interests of orienting the reader.

NIP

故意钓到白杨

Progress in Theoretical Computer Sciencehttp://image.papertrans.cn/a/image/153233.jpg

勋章

https://doi.org/10.1007/978-3-658-21351-0ov chain based on the tree of derivations. As always, the crucial feature of the chain from our point of view is that it converges rapidly to its stationary distribution. The machinery developed in Chapter 2 will enable us to establish this property painlessly.