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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-ophthalmologicalFLACK 发表于 2025-3-22 16:20:44
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 发表于 2025-3-22 20:54:17
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 representatiobackdrop 发表于 2025-3-22 23:02:01
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 oexpunge 发表于 2025-3-23 03:31:02
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 fieldsBiguanides 发表于 2025-3-23 06:22:58
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