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This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference... Read More >>
This book provides readers with the latest know-how and tools needed to assess the in-service strength and reliability... Read More >>
This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert... Read More >>
This book focuses on the recent development of methodologies and computation methods in mathematical and statistical... Read More >>
Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on... Read More >>
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The series is designed to bring together those mathematicians who are seriously interested in getting new challenging... Read More >>
The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life... Read More >>
This book is devoted to boundary value problems of the Laplace equation on bounded and unbounded Lipschitz domains.... Read More >>
This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical... Read More >>
The purpose of this monograph is to provide a theory of Markov processes that are invariant under the actions of... Read More >>
This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for... Read More >>
This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary... Read More >>
This book systematically presents the topological structure of solution sets and attractability for nonlinear evolution... Read More >>
This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis... Read More >>
This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering... Read More >>
A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis... Read More >>
"Since its first edition, there have been many interesting developments in the use of ""likelihood-free"" methods... Read More >>
Fractional Brownian Motion (FBM) is a very classical continuous self-similar Gaussian field with stationary increments.... Read More >>
Thanks to theaccessible style used, readers only need a basic command of Calculus.This book will appeal to scientists,... Read More >>
It is aimed at researchers and students working in probability, the theory of stochastic processes, operations research,... Read More >>