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Can I read Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics (23)) on EtoBox?

Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics (23)) by Alfio Quarteroni, Alberto Valli (auth.) is a nonfiction available to read on EtoBox.

What is Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics (23)) about?

This book deals with the numerical approximation of partial differential equations. Its scope is to provide a thorough illustration of numerical methods, carry out their stability and convergence analysis, derive error bounds, and discuss the algorithmic aspects relative to their implementation. A sound balancing of theoretical analysis, description of algorithms and discussion of applications is one of its main features. Many kinds of problems are addressed. A comprehensive theory of Galerkin method and its variants, as well as that of collocation methods, are developed for the spatial discretization. These theories are then specified to two numerical subspace realizations of remarkable interest: the finite element method and the spectral method. From the reviews: " ... The book is excellent and is addressed to post-graduate students, research workers in applied sciences as well as to specialists in numerical mathematics solving PDE. Since it is written very clearly, it would be acceptable for undergraduate students in advanced courses of numerical mathematics. Readers will find this book to be a great pleasure."--MATHEMATICAL REVIEWS

Who reads Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics (23))?

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

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

Author
Alfio Quarteroni, Alberto Valli (auth.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
1994
Language
EN
ISBN
9780387571119
Category
nonfiction
Subjects
Mathematics, Engineering, Science

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