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A First Course in the Numerical Analysis of Differential Equations

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Release : 2009
Genre : Mathematics
Kind : eBook
Book Rating : 908/5 ( reviews)

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Book Synopsis A First Course in the Numerical Analysis of Differential Equations by : A. Iserles

Download or read book A First Course in the Numerical Analysis of Differential Equations written by A. Iserles. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: lead the reader to a theoretical understanding of the subject without neglecting its practical aspects. The outcome is a textbook that is mathematically honest and rigorous and provides its target audience with a wide range of skills in both ordinary and partial differential equations." --Book Jacket.

A First Course in the Numerical Analysis of Differential Equations

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Release : 2008-11-27
Genre : Mathematics
Kind : eBook
Book Rating : 76X/5 ( reviews)

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Book Synopsis A First Course in the Numerical Analysis of Differential Equations by : Arieh Iserles

Download or read book A First Course in the Numerical Analysis of Differential Equations written by Arieh Iserles. This book was released on 2008-11-27. Available in PDF, EPUB and Kindle. Book excerpt: Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.

A First Course in Numerical Methods

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Author :
Release : 2011-07-14
Genre : Mathematics
Kind : eBook
Book Rating : 976/5 ( reviews)

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Book Synopsis A First Course in Numerical Methods by : Uri M. Ascher

Download or read book A First Course in Numerical Methods written by Uri M. Ascher. This book was released on 2011-07-14. Available in PDF, EPUB and Kindle. Book excerpt: Offers students a practical knowledge of modern techniques in scientific computing.

A First Course in Numerical Analysis

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Release : 2001-01-01
Genre : Mathematics
Kind : eBook
Book Rating : 546/5 ( reviews)

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Book Synopsis A First Course in Numerical Analysis by : Anthony Ralston

Download or read book A First Course in Numerical Analysis written by Anthony Ralston. This book was released on 2001-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Outstanding text, oriented toward computer solutions, stresses errors in methods and computational efficiency. Problems — some strictly mathematical, others requiring a computer — appear at the end of each chapter.

Numerical Methods for Ordinary Differential Equations

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Release : 2010-11-11
Genre : Mathematics
Kind : eBook
Book Rating : 483/5 ( reviews)

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Book Synopsis Numerical Methods for Ordinary Differential Equations by : David F. Griffiths

Download or read book Numerical Methods for Ordinary Differential Equations written by David F. Griffiths. This book was released on 2010-11-11. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Methods for Ordinary Differential Equations is a self-contained introduction to a fundamental field of numerical analysis and scientific computation. Written for undergraduate students with a mathematical background, this book focuses on the analysis of numerical methods without losing sight of the practical nature of the subject. It covers the topics traditionally treated in a first course, but also highlights new and emerging themes. Chapters are broken down into `lecture' sized pieces, motivated and illustrated by numerous theoretical and computational examples. Over 200 exercises are provided and these are starred according to their degree of difficulty. Solutions to all exercises are available to authorized instructors. The book covers key foundation topics: o Taylor series methods o Runge--Kutta methods o Linear multistep methods o Convergence o Stability and a range of modern themes: o Adaptive stepsize selection o Long term dynamics o Modified equations o Geometric integration o Stochastic differential equations The prerequisite of a basic university-level calculus class is assumed, although appropriate background results are also summarized in appendices. A dedicated website for the book containing extra information can be found via www.springer.com

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