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Introduction To Computational Mathematics (2nd Edition)

Introduction To Computational Mathematics (2nd Edition)
 

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and nume... read full description below.

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ISBN 9789814635776
Published 26 November 2014 by World Scientific Publishing Co
Format Hardback, 2nd Revised edition
Alternate Format(s) View All (1 other possible title(s) available)
Author(s) By Yang, Xin-She
Availability Internationally sourced; ships 6-12 working days

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Full details for this title

ISBN-13 9789814635776
ISBN-10 9814635774
Stock Available
Status Internationally sourced; ships 6-12 working days
Publisher World Scientific Publishing Co
Imprint World Scientific Publishing Co Pte Ltd
Publication Date 26 November 2014
International Publication Date 26 January 2015
Publication Country Singapore Singapore
Format Hardback, 2nd Revised edition
Edition 2nd Revised edition
Author(s) By Yang, Xin-She
Category Numerical Analysis
Optimization
Number of Pages 344
Dimensions Width: 155mm
Height: 231mm
Spine: 23mm
Weight 617g
Interest Age 19+ years
Reading Age 19+ years
Library of Congress Algorithms, Programming (Mathematics), Numerical analysis, Mathematical analysis - Foundations
NBS Text Mathematics
ONIX Text College/higher education;Professional and scholarly
Dewey Code 518
Catalogue Code Not specified

Description of this Book

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.

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