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- Author: Xin-She Yang
- Publisher: World Scientific Publishing Company
- Year: 2014
- Pages: 344
- ISBN-10: 9814635774
- ISBN-13: 9789814635776
- Format: 15.5 x 23.1 x 2.3 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Introduction to Computational Mathematics (2nd Edition) (e-book) (used book) | bookbook.eu
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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.
EXTRA 10 % discount with code: EXTRA
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- Author: Xin-She Yang
- Publisher: World Scientific Publishing Company
- Year: 2014
- Pages: 344
- ISBN-10: 9814635774
- ISBN-13: 9789814635776
- Format: 15.5 x 23.1 x 2.3 cm, kieti viršeliai
- Language: English English
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.
Reviews