Numerical Methods and Analysis of Multiscale Problems, 1st ed. 2017
SpringerBriefs in Mathematics Series

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Language: English

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This book is about numerical modeling of multiscale problems, and introduces several asymptotic analysis and numerical techniques which are necessary for a proper approximation of equations that depend on different physical scales.  Aimed at advanced undergraduate and graduate students in mathematics, engineering and physics ? or researchers seeking a no-nonsense approach ?, it discusses  examples in their simplest possible settings, removing mathematical hurdles that might hinder a clear understanding of the methods.

The problems considered are given by singular perturbed reaction advection diffusion equations in one and two-dimensional domains, partial differential equations in domains with rough boundaries, and equations with oscillatory coefficients. This work shows how asymptotic analysis can be used to develop and analyze models and numerical methods that are robust and work well for a wide range of parameters.


Introductory Material and Finite Element Methods.- A One-dimensional Singular Perturbed Problem.- An Application in Neuroscience: Heterogeneous Cable Equation.- Two-Dimensional Reaction-Diffusion Equations.- Modeling PDEs in Domains with Rough Boundaries.- Partial Differential Equations with Oscillatory Coefficients.

Alexandre L. Madureira is a senior researcher at the National Laboratory for Scientific Computing (LNCC), Brazil, and also works at the Brazilian School of Economics and Finance (EPGE) at the Fundação Getúlio Vargas (FGV). He holds a PhD from Penn State University, USA, and served as a visiting professor at the Istituto di Analisi Numerica (IAN), Italy, University of Colorado at Denver, USA, and Brown University, USA. His main field of interest is numerical analysis, more specifically modeling and analysis of multiscale problems from PDE and numerical points of view.

Offers an introduction to asymptotic analysis techniques and various finite element methods for elliptic problems

Presents numerous case studies on modeling techniques of multiscale PDEs, in one- and two-dimensional domains

Explores modeling through both continuous and numerical approximations

Includes supplementary material: sn.pub/extras