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Scientific Computing with MATLAB and Octave

English · Hardback

Description

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This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate approximations for the solution of ordinary and partial differential equations. To make the presentation concrete and appealing, the programming environments Matlab and Octave are adopted as faithful companions. The book contains the solution to several problems posed in exercises and examples, often originating from important applications. At the end of each chapter, specific section is devoted to subjects which were not addressed in the book and contains the bibliographical references for a more comprehensive treatment of the material.

List of contents

What can t be ignored.- Nonlinear equations.- Approximation of functions and data.- Numerical differentiation and integration.- Linear systems.- Eigenvalues and eigenvectors.- Ordinary differential equations.- Numerical approximation of boundary-value problems.- Solutions of the exercises.

Report

From the reviews of the third edition: This carefully written textbook is the third English edition and contains substantial new developments on the numerical solution of differential equations. it is written in a style that is suited for readers who have mathematics, natural sciences, computer sciences or economics as a background and who are interested in a well-organized introduction to the subject. (Robert Plato, Zentralblatt MATH, Vol. 1205, 2011)

Product details

Authors Paola Gervasio, Alfio Quarteroni, Fausto Saleri
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 02.07.2010
 
EAN 9783642124297
ISBN 978-3-642-12429-7
No. of pages 366
Weight 660 g
Illustrations 117 SW-Abb.,
Series Texts in Computational Science and Engineering
Subject Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries

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