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Can I read Introduction to Partial Differential Equations: A Computational Approach (Texts in Applied Mathematics, Vol. 29) on EtoBox?

Introduction to Partial Differential Equations: A Computational Approach (Texts in Applied Mathematics, Vol. 29) by Aslak Tveito and Ragnar Winther is a nonfiction available to read on EtoBox.

What is Introduction to Partial Differential Equations: A Computational Approach (Texts in Applied Mathematics, Vol. 29) about?

This book teaches the basic methods of partial differential equations and introduces related important ideas associated with the analysis of numerical methods for those partial differential equations. Standard topics such as separation of variables, Fourier analysis, maximum principles and energy estimates are included. Numerical methods are introduced in parallel to the classical theory. The numerical experiments are used to illustrate properties of differential equations and theory for finite difference approximations is developed. Numerical methods are included in the book to show the significance of computations in partial differential equations and to illustrate the strong interaction between mathematical theory and the development of numerical methods. Great care has been taken throughout the book to seek a sound balance between the analytical and numerical techniques. The authors present the material at an easy pace with well-organized exercises ranging fro! m the straightforward to the challenging. In addition, special projects are included, containing step by step hints and instructions, to help guide students in the correct way of approaching partial differential equation

Who reads Introduction to Partial Differential Equations: A Computational Approach (Texts in Applied Mathematics, Vol. 29)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Aslak Tveito and Ragnar Winther
Publisher
Springer New York : Imprint: Springer
Published
1998
Language
EN
ISBN
9780387227733
Category
nonfiction
Subjects
Computer Science, Mathematics, Science

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