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