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Analysis of Finite Difference Schemes: For Linear Partial Differential Equations with Generalized Solutions (Springer Series in Computational Mathematics) Hardcover – 31 Oct 2013

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From the book reviews:

“The authors present a new monograph on finite difference schemes for pde’s with weak solutions. … readable for specialist working in the field of numerical analysis, maybe including excellent graduate students of mathematics. … for scientists interested in the analysis of discretization methods for very weak solutions, including solutions in Besov or Bessel-potential spaces, the monography presents many fruitful ideas and useful ingredients.” (H.-G. Roos, Zeitschrift für Angewandte Mathematik und Mechanik, Vol. 94 (11), 2014)

From the Back Cover

This book develops a systematic and rigorous mathematical theory of finite difference methods for linear elliptic, parabolic and hyperbolic partial differential equations with nonsmooth solutions.

Finite difference methods are a classical class of techniques for the numerical approximation of partial differential equations. Traditionally, their convergence analysis presupposes the smoothness of the coefficients, source terms, initial and boundary data, and of the associated solution to the differential equation. This then enables the application of elementary analytical tools to explore their stability and accuracy. The assumptions on the smoothness of the data and of the associated analytical solution are however frequently unrealistic. There is a wealth of boundary – and initial – value problems, arising from various applications in physics and engineering, where the data and the corresponding solution exhibit lack of regularity.

In such instances classical techniques for the error analysis of finite difference schemes break down. The objective of this book is to develop the mathematical theory of finite difference schemes for linear partial differential equations with nonsmooth solutions.

Analysis of Finite Difference Schemes is aimed at researchers and graduate students interested in the mathematical theory of numerical methods for the approximate solution of partial differential equations.

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