Introduction to computational mathematics
Material type: TextPublication details: Singapore World scientific 2015Edition: 2Description: xii, 329 p. illustrationsISBN: 9789814635776 (hardcover : alk. paper); 9814635774 (hardcover : alk. paper); 9789814635783 (pbk. : alk. paper); 9814635782 (pbk. : alk. paper)Subject(s): Numerical analysis | Algorithms | Mathematical analysis | Programming (Mathematics)DDC classification: 518 Summary: 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.Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK | Stack | Stack | 518 YAN/I (Browse shelf (Opens below)) | Available | 59449 |
Browsing Kannur University Central Library shelves, Shelving location: Stack, Collection: Stack Close shelf browser (Hides shelf browser)
518 KAL/N Numerical methods | 518 RAL/F A first course in numerical analysis / | 518 THA/C computer -oriented numerical methods | 518 YAN/I Introduction to computational mathematics | 518.028 5 TUR/G Guide to scientific computing | 518.02855133 LAM/E Explorations in numerical analysis: python edition | 518.1 DOB/M Methods in algorithmic analysis / |
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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