Stochastic Pdes And Modelling Of Multiscale Complex System

Stochastic Pdes And Modelling Of Multiscale Complex System
Author: Xiaopeng Chen
Publisher: World Scientific
Total Pages: 238
Release: 2019-05-07
Genre: Mathematics
ISBN: 981120036X

This volume is devoted to original research results and survey articles reviewing recent developments in reduction for stochastic PDEs with multiscale as well as application to science and technology, and to present some future research direction. This volume includes a dozen chapters by leading experts in the area, with a broad audience in mind. It should be accessible to graduate students, junior researchers and other professionals who are interested in the subject. We also take this opportunity to celebrate the contributions of Professor Anthony J Roberts, an internationally leading figure on the occasion of his 60th years birthday in 2017.

Dissipative Lattice Dynamical Systems

Dissipative Lattice Dynamical Systems
Author: Xiaoying Han
Publisher: World Scientific
Total Pages: 381
Release: 2023-03-14
Genre: Mathematics
ISBN: 9811267774

There is an extensive literature in the form of papers (but no books) on lattice dynamical systems. The book focuses on dissipative lattice dynamical systems and their attractors of various forms such as autonomous, nonautonomous and random. The existence of such attractors is established by showing that the corresponding dynamical system has an appropriate kind of absorbing set and is asymptotically compact in some way.There is now a very large literature on lattice dynamical systems, especially on attractors of all kinds in such systems. We cannot hope to do justice to all of them here. Instead, we have focused on key areas of representative types of lattice systems and various types of attractors. Our selection is biased by our own interests, in particular to those dealing with biological applications. One of the important results is the approximation of Heaviside switching functions in LDS by sigmoidal functions.Nevertheless, we believe that this book will provide the reader with a solid introduction to the field, its main results and the methods that are used to obtain them.

An Introduction To Nonautonomous Dynamical Systems And Their Attractors

An Introduction To Nonautonomous Dynamical Systems And Their Attractors
Author: Peter Kloeden
Publisher: World Scientific
Total Pages: 157
Release: 2020-11-25
Genre: Mathematics
ISBN: 9811228671

The nature of time in a nonautonomous dynamical system is very different from that in autonomous systems, which depend only on the time that has elapsed since starting rather than on the actual time itself. Consequently, limiting objects may not exist in actual time as in autonomous systems. New concepts of attractors in nonautonomous dynamical system are thus required.In addition, the definition of a dynamical system itself needs to be generalised to the nonautonomous context. Here two possibilities are considered: two-parameter semigroups or processes and the skew product flows. Their attractors are defined in terms of families of sets that are mapped onto each other under the dynamics rather than a single set as in autonomous systems. Two types of attraction are now possible: pullback attraction, which depends on the behaviour from the system in the distant past, and forward attraction, which depends on the behaviour of the system in the distant future. These are generally independent of each other.The component subsets of pullback and forward attractors exist in actual time. The asymptotic behaviour in the future limit is characterised by omega-limit sets, in terms of which form what are called forward attracting sets. They are generally not invariant in the conventional sense, but are asymptotically invariant in general and, if the future dynamics is appropriately uniform, also asymptotically negatively invariant.Much of this book is based on lectures given by the authors in Frankfurt and Wuhan. It was written mainly when the first author held a 'Thousand Expert' Professorship at the Huazhong University of Science and Technology in Wuhan.

Control and Optimization of Multiscale Process Systems

Control and Optimization of Multiscale Process Systems
Author: Panagiotis D. Christofides
Publisher: Springer Science & Business Media
Total Pages: 247
Release: 2008-10-28
Genre: Science
ISBN: 0817647937

This book—the first of its kind—presents general methods for feedback controller synthesis and optimization of multiscale systems, illustrating their application to thin-film growth, sputtering processes, and catalytic systems of industrial interest. The authors demonstrate the advantages of the methods presented for control and optimization through extensive simulations. Included in the work are new techniques for feedback controller design and optimization of multiscale process systems that are not included in other books. The book also contains a rich collection of new research topics and references to significant recent work.

Principles of Multiscale Modeling

Principles of Multiscale Modeling
Author: Weinan E
Publisher: Cambridge University Press
Total Pages: 485
Release: 2011-07-07
Genre: Mathematics
ISBN: 1107096545

A systematic discussion of the fundamental principles, written by a leading contributor to the field.

Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena

Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena
Author: Alexander N. Gorban
Publisher: Springer Science & Business Media
Total Pages: 554
Release: 2006-09-22
Genre: Science
ISBN: 3540358889

Model reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom become one with fewer? How can a reversible micro-description be adapted to the dissipative macroscopic model? These crucial questions, as well as many other related problems, are discussed in this book. All contributions are by experts whose specialities span a wide range of fields within science and engineering.

Stochastic Climate Models

Stochastic Climate Models
Author: Peter Imkeller
Publisher: Birkhäuser
Total Pages: 413
Release: 2012-12-06
Genre: Mathematics
ISBN: 3034882874

A collection of articles written by mathematicians and physicists, designed to describe the state of the art in climate models with stochastic input. Mathematicians will benefit from a survey of simple models, while physicists will encounter mathematically relevant techniques at work.

Multiscale Methods in Science and Engineering

Multiscale Methods in Science and Engineering
Author: Björn Engquist
Publisher: Springer Science & Business Media
Total Pages: 300
Release: 2005-05-24
Genre: Mathematics
ISBN: 3540253351

Multiscale problems naturally pose severe challenges for computational science and engineering. The smaller scales must be well resolved over the range of the larger scales. Challenging multiscale problems are very common and are found in e.g. materials science, fluid mechanics, electrical and mechanical engineering. Homogenization, subgrid modelling, heterogeneous multiscale methods, multigrid, multipole, and adaptive algorithms are examples of methods to tackle these problems. This volume is an overview of current mathematical and computational methods for problems with multiple scales with applications in chemistry, physics and engineering.

Uncertainty Quantification in Multiscale Materials Modeling

Uncertainty Quantification in Multiscale Materials Modeling
Author: Yan Wang
Publisher: Woodhead Publishing
Total Pages: 604
Release: 2020-03-12
Genre: Technology & Engineering
ISBN: 0081029411

Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.