In this revised and extended version of his course notes from a 1-year course at Scuola Normale Superiore, Pisa, the author ...
Continue readingThis book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop ...
Continue readingThis book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop ...
Continue readingThis book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
Continue readingThis book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
Continue readingThis book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, ...
Continue readingA problem of broad interest – the estimation of the spectral gap for matrices or differential operators (Markov chains ...
Continue readingEntropy and entropy production have recently become mathematical tools for kinetic and hydrodynamic limits, when deriving ...
Continue readingThis book constitutes the refereed proceedings of the 15th International Conference on Green, Pervasive, and Cloud Computing, ...
Continue readingThis book presents a complete treatment of a new class of random processes, which have been studied intensively during the ...
Continue readingAlthough three decades have passed since first publication of this book reprinted now as a result of popular demand, the ...
Continue readingThis volume contains the revised and completed notes of lectures given at the school "Quantum Potential Theory: Structure ...
Continue readingMarkov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, ...
Continue readingIn Chapter 1, the derivative and divergence operators are introduced in the framework of an isonormal Gaussian process associated ...
Continue readingIn Chapter 1, the derivative and divergence operators are introduced in the framework of an isonormal Gaussian process associated ...
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