Introduction To Computational Mathematics (2nd Edition)

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Computational Math made easy - For tech enthusiasts.

This book is an ideal read for anyone interested in computational mathematics or anyone studying numerical algorithms. It offers a theorem-free approach and covers all major topics with a wide range of carefully selected numerical algorithms. It is especially suitable for undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, artificial intelligence, and engineering optimization. Readers will appreciate how easy the book makes it to understand complex mathematical concepts related to computation.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Introduction To Computational Mathematics (2nd Edition)

Regular price
Unit price
per
Compare to estimated retail price: S$91.36  
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ISBN: 9789814635783
Authors: Xin-She Yang
Publisher: Wspc
Date of Publication: 2014-11-26
Format: Paperback
Related Collections: Science, Mathematics, Engineering
Goodreads rating: 4.0
(rated by 1 readers)

Description

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.
 

Computational Math made easy - For tech enthusiasts.

This book is an ideal read for anyone interested in computational mathematics or anyone studying numerical algorithms. It offers a theorem-free approach and covers all major topics with a wide range of carefully selected numerical algorithms. It is especially suitable for undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, artificial intelligence, and engineering optimization. Readers will appreciate how easy the book makes it to understand complex mathematical concepts related to computation.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.