Foundations Of Computational Mathematics


Download Foundations Of Computational Mathematics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Foundations Of Computational Mathematics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Foundations of Computational Mathematics


Foundations of Computational Mathematics

Author: Ronald A. DeVore

language: en

Publisher: Cambridge University Press

Release Date: 2001-05-17


DOWNLOAD





Collection of papers by leading researchers in computational mathematics, suitable for graduate students and researchers.

Foundations of Computation


Foundations of Computation

Author: Carol Critchlow

language: en

Publisher:

Release Date: 2011


DOWNLOAD





Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

Introduction To Computational Mathematics (2nd Edition)


Introduction To Computational Mathematics (2nd Edition)

Author: Xin-she Yang

language: en

Publisher: World Scientific Publishing Company

Release Date: 2014-11-26


DOWNLOAD





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.