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Nonlocal Modeling, Analysis, and Computation

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by Qiang Du


2019 / xiv + 168 pages / Softcover / ISBN 978-1-611975-61-1 / List Price $59.00 / SIAM Member Price $41.30 / Order Code: CB94

Keywords: Nonlocal mechanics, nonlocal diffusion, nonlocal vector calculus, nonlocal variational problems and dynamic systems, numerical methods

Contents, Foreward, Preface, Index

Studies of complexity, singularity, and anomaly using nonlocal continuum models are steadily gaining popularity. This monograph provides an introduction to basic analytical, computational, and modeling issues and to some of the latest developments in these areas.

Nonlocal Modeling, Analysis, and Computation includes motivational examples of nonlocal models, basic building blocks of nonlocal vector calculus, elements of theory for well-posedness and nonlocal spaces, connections to and coupling with local models, convergence and compatibility of numerical approximations, and various applications, such as nonlocal dynamics of anomalous diffusion and nonlocal peridynamic models of elasticity and fracture mechanics.

A particular focus is on nonlocal systems with a finite range of interaction to illustrate their connection to traditional local systems represented by partial differential equations and fractional PDEs. These models are designed to represent nonlocal interactions explicitly and to remain valid for complex systems involving possible singular solutions and they have the potential to be alternatives to as well as bridges to existing local continuum and discrete models.

The author discusses ongoing studies of nonlocal models to encourage the discovery of new mathematical theory for nonlocal continuum models and offer new perspectives on existing discrete models and local continuum models and the connections between them.

Nonlocal Modeling, Analysis, and Computation offers applied mathematicians, computational scientists, researchers, and graduate students an illustration of the broad applicability and rich mathematics of nonlocal models and provides motivation for further investigations.

About the Author
Qiang Du is the Fu Foundation Professor of Applied Mathematics at Columbia University, where he chairs the applied mathematics program in the Department of Applied Physics and Applied Mathematics and is a co-chair of the Center for Foundations of Data Science in the Data Science Institute. Professor Du was the Verne M. Willaman Professor of Mathematics and Professor of Materials Science and Engineering at Penn State University. Recognition for his work includes the SIAM Outstanding Paper Prize and ACM Gordon Bell Prize Finalist in 2016, and the Excellent Paper Prize of Scientia Sinica Mathematica in 2017. He was an invited speaker at the International Congress of Mathematicians (ICM 2018) and is a Fellow of SIAM and of the American Association for the Advancement of Science.


ISBN 9781611975611

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