Victor S. Ryaben'kii, Semyon V. Tsynkov

A Theoretical Introduction to Numerical Analysis (eBook, PDF)

• Format: PDF

Produktbeschreibung

An accessible yet rigorous mathematical introduction, A Theoretical Introduction to Numerical Analysis provides a pedagogical account of the fundamentals of numerical analysis. Using numerical methods from real analysis, linear algebra, and differential equations, the authors explain basic concepts, such as error, discretization, efficiency, complexity, numerical stability, consistency, and convergence. The text also addresses more complex topics like intrinsic error limits and the smoothness of approximated functions in the context of Chebyshev interpolation, Gaussian quadratures, and spectral methods for differential equations. The authors often delineate various techniques through exercises that require further theoretical study or computer implementation.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 552
• Erscheinungstermin: 2. November 2006
• Englisch
• ISBN-13: 9781420011166
• Artikelnr.: 37880267

Autorenporträt

Victor S. Ryaben'kii, Semyon V Tsynkov

Inhaltsangabe

Introduction. Interpolation of Functions. Quadratures. Systems of Scalar Equations. The Method of Finite Differences for the Numerical Solution of Differential Equations. The Methods of Boundary Equations for the Numerical Solution of Boundary Value Problems. References. Index.

Rezensionen

"... presents the general methodology and principles of numerical analysis, illustrating the key concepts using numerical methods from real analysis, linear algebra, and differential equations. The book focuses on hoe to efficiently represent mathematical models for computer-based study. ... this book provides a pedagogical account of the fundamentals of numerical analysis. ... provides a foundation link to more specialized computational work in mathematics, science, and engineering. ... Discusses three common numerical areas: interpolation and quadratures, linear and nonlinear solvers, and finite differences. Explains the most fundamental and universal concepts, including error, efficiency, complexity, stability, and convergence. Addresses advance topics, such as intrinsic accuracy limits, saturation of numerical methods by smoothness, and the method of difference potentials. Provides rigorous proofs for all important mathematical results. Includes numerous examples and exercises to illustrate key theoretical ideas and to enable independent study. "
- In Mathematical Reviews, Issue 2007g

"It is an excellent book, having a wide spectrum of classical and advanced topics. The book has all the advantages of the Russian viewpoint as well as the Western one."
-David Gottlieb, Brown University, Providence, Rhode Island, USA