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Practical Analysis In One Variable 1st Edition Donald Estep

  • SKU: BELL-1149860
Practical Analysis In One Variable 1st Edition Donald Estep
$ 31.00 $ 45.00 (-31%)

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Practical Analysis In One Variable 1st Edition Donald Estep instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 2.78 MB
Pages: 637
Author: Donald Estep
ISBN: 9780387226446, 9780387954844, 0387954848, 0387226443
Language: English
Year: 2002
Edition: 1

Product desciption

Practical Analysis In One Variable 1st Edition Donald Estep by Donald Estep 9780387226446, 9780387954844, 0387954848, 0387226443 instant download after payment.

This book attempts to place the basic ideas of real analysis and numerical analysis together in an applied setting that is both accessible and motivational to young students. The essentials of real analysis are presented in the context of a fundamental problem of applied mathematics, which is to approximate the solution of a physical model. The framework of existence, uniqueness, and methods to approximate solutions of model equations is sufficiently broad to introduce and motivate all the basic ideas of real analysis. The book includes background and review material, numerous examples, visualizations and alternate explanations of some key ideas, and a variety of exercises ranging from simple computations to analysis and estimates to computations on a computer. The book can be used in an honor calculus sequence typically taken by freshmen planning to major in engineering, mathematics, and science, or in an introductory course in rigorous real analysis offered to mathematics majors.

Donald Estep is Professor of Mathematics at Colorado State University. He is the author of Computational Differential Equations, with K. Eriksson, P. Hansbo and C. Johnson (Cambridge University Press 1996) and Error of Numerical Solutions of Systems of Nonlinear Reaction-Diffusion Equations with M. Larson and R. Williams (A.M.S. 2000), and recently co-edited Collected Lectures on the Preservation of Stability under Discretization, with Simon Tavener (S.I.A.M., 2002), as well as numerous research articles. His research interests include computational error estimation and adaptive finite element methods, numerical solution of evolutionary problems, and computational investigation of physical models.

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