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Introduction to Computational Mathematics (2nd Edition)

Autor UK" University of Cambridge, UK <p> "University of Cambridge, UK" <p> "University of Cambridge, UK" University of Cambridge, UK <p> "University of Cambridge, UK" <p> "University of Cambridge, UK" University of Cambridge, UK) Yang, Xin-She (<p> "University of Cambridge
en Limba Engleză Paperback – 26 ian 2015
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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Specificații

ISBN-13: 9789814635783
ISBN-10: 9814635782
Pagini: 344
Dimensiuni: 147 x 226 x 23 mm
Greutate: 0.5 kg
Ediția:Revised
Editura: WORLD SCIENTIFIC

Descriere

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…