Titlebook: Probability on Discrete Structures; Harry Kesten Book 2004 Springer-Verlag Berlin Heidelberg 2004 Markov chain.Random variable.first-passa

Eisenhower

書目名稱Probability on Discrete Structures影響因子(影響力)




書目名稱Probability on Discrete Structures影響因子(影響力)學(xué)科排名




書目名稱Probability on Discrete Structures網(wǎng)絡(luò)公開度




書目名稱Probability on Discrete Structures網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Probability on Discrete Structures被引頻次




書目名稱Probability on Discrete Structures被引頻次學(xué)科排名




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書目名稱Probability on Discrete Structures年度引用學(xué)科排名




書目名稱Probability on Discrete Structures讀者反饋




書目名稱Probability on Discrete Structures讀者反饋學(xué)科排名

重疊

BLAZE

vanquish

connoisseur

Laurent Saloff-Costeurological surgery. Visual loss following elective non-ocular surgery is a catastrophic event for the patient, surgeon and anaesthetist. Despite being a rare entity, perioperative ocular complications in non-ophthalmic surgery have become a focus for surgical, anaesthetic and neuro-ophthalmological

FLACK

The Objective Method: Probabilistic Combinatorial Optimization and Local Weak Convergence,method is part of weak convergence theory, but in concrete problems the method has a flavor of its own. A characteristic element of the method is that it often calls for one to introduce a new, infinite, probabilistic . whose . inform us about the . of a sequence of finite problems.

rectum

The Random-Cluster Model,uding percolation, Ising, and Potts models; in addition, their study has impact on the theory of certain random combinatorial structures, and of electrical networks. Much (but not all) of the physical theory of Ising/Potts models is best implemented in the context of the random-cluster representatio

backdrop

Models of First-Passage Percolation, Envision a fluid injected into the material at a fixed site: as time elapses, the portion of the material that is wet expands in a manner that is a complicated function of the material’s random structure. In the standard FPP model, the spatial randomness of the material is represented by a family o

expunge

Relaxation Times of Markov Chains in Statistical Mechanics and Combinatorial Structures,sure. In recent years, for models of statistical mechanics and of theoretical computer science, there has been a flourishing of new mathematical ideas and techniques to rigorously control the time it takes for the chain to equilibrate. This has provided a fruitful interaction between the two fields

Biguanides

Random Walks on Finite Groups, example is provided by card shuffling methods. From this viewpoint, one is interested in the “mixing time” of the chain, that is, the time at which the chain gives a good approximation of the limit distribution. A remarkable phenomenon known as the cut-off phenomenon asserts that this often happens