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Found 1064 from your keywords: subject="thema"
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations
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Mickaël D. ChekrounHonghu LiuShouhong Wang

In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial…

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ISBN/ISSN
978-3-319-12520-6
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Stochastic Optimization Methods
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Kurt Marti

This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts…

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978-3-662-46214-0
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Stochastic Non-Excitable Systems with Time Delay
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Paul M. Geffert

Paul M. Geffert analyses the interplay of noise and time delay in non-excitable nonlinear systems and the modulation of stochastic effects. In particular, the author studies coherence resonance, which is a constructive effect of noise that occurs in nonlinear systems, and demonstrates that it can be modulated by time-delayed feedback. Analytical methods for the investigation of stochastic delay…

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978-3-658-09295-5
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Stochastic Neuron Models
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Priscilla E. GreenwoodLawrence M. Ward

This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these p…

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ISBN/ISSN
978-3-319-26911-5
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Stochastic Narrow Escape in Molecular and Cellular Biology
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David HolcmanZeev Schuss

This book covers recent developments in the non-standard asymptotics of the mathematical narrow escape problem in stochastic theory, as well as applications of the narrow escape problem in cell biology. The first part of the book concentrates on mathematical methods, including advanced asymptotic methods in partial equations, and is aimed primarily at applied mathematicians and theoretical phys…

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ISBN/ISSN
978-1-4939-3103-3
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Stochastic Multi-Stage Optimization
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Pierre CarpentierJean-Philippe ChancelierGuy CohenMichel De Lara

The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges …

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ISBN/ISSN
978-3-319-18138-7
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Stochastic Models, Statistics and Their Applications
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Ansgar StelandEwaryst RafajłowiczKrzysztof Szajowski

This volume presents papers collected on the occasion of the 12th Workshop on Stochastic Models, Statistics and Their Applications, jointly organized by the Institute of Mathematics and Computer Science of Wrocław University of Technology, the Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, and by the Institute of Statistics of RWTH Aachen Univers…

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ISBN/ISSN
978-3-319-13881-7
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Stochastic Models with Power-Law Tails
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Dariusz BuraczewskiEwa DamekThomas Mikosch

The Stochastic Equation. The authors of this text (called DB, ED and TM) started their collaboration with the paper Buraczewski et al. [76] in 2011. We studied large deviations and ruin probabilities for the solution ðXtÞ to Kesten’s stochastic recurrence equation

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978-3-319-29679-1
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Stochastic Models for Structured Populations
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Sylvie MéléardVincent Bansaye

This course concerns the stochastic modeling of population dynamics. In the first part, we focus on monotype populations described by one-dimensional stochastic differential equations with jumps. We consider their scaling limits for large populations and study the long time behavior of the limiting processes. It is achieved, thanks to martingale properties, Poisson measure representations, a…

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978-3-319-21711-6
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Stochastic Modeling of Thermal Fatigue Crack Growth
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Vasile Radu

The assessment of thermal fatigue crack growth due to turbulent mixing of hot and cold coolants presents significant challenges, in particular, to determine the thermal loading spectrum. Thermal striping is defined as a random temperature fluctuation produced by incomplete mixing of fluid streams at different temperatures, and it is essentially a random phenomenon in a temporal sense.

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ISBN 978-3-319-12877-1
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First Page Previous 81 82 83 84 85 Next Last Page
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