Introduction to Numerical Programming - A Practical Guide for Scientists and Engineers Using Python and C/c++

"This book is devoted to the general field of numerical programming, with emphasis on methods specific to computational physics and engineering. While tremendous advances of computer performances have been achieved in recent years, numerical methods still remain virtually inexhaustible resources for extending the range of challenging real-life problems made tractable. Along these lines, the book sets as its primordial goal to contribute to fostering interest in numerical programming by making computations accessible and appealing to broader categories of scientists and engineers. I have written this book for advanced undergraduate and graduate students in natural sciences and engineering, with the aim of being suited as curriculum material for a one- or two-semester course in numerical programming based on Python or C/C++. The book may also be used for independent study or as a reference material beyond academic studies. It may be useful, for instance, as an introductory text for researchers preparing toengage in scientific computing, or engineers needing effective numerical tools for applicative calculations. I have placed emphasis on the rigorous, yet accessible presentation of the fundamental numerical methods, which are complemented with implementations and applications, highlighting specific numerical behavior and often featuring graphical output. Although the material requires basic knowledge of calculus, linear algebra, and differential equations, it does not assume previous acquaintance with numerical techniques, leading the reader all the way from elementary algorithms to elaborate methods of relevance for modern numerical programming"--

Détails du produit

• Auteurs: Titus A. Beu, Titus A. (University Babes-Bolyai Beu, Titus A./ Peez Beu, Titus Adrian Beu, Beu Titus A.
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 03.09.2014
• EAN: 9781466569676
• ISBN: 978-1-4665-6967-6
• Pages: 674
• Thèmes: Series in Computational Physics; Series in Computational Physics
• Catégories: Littérature spécialisée > Nature, technique > Astronomie: général, ouvrages de référence; Sciences naturelles, médecine, informatique, technique > Mathématiques > Autres; SCIENCE / Physics / General, MATHEMATICS / Applied, MATHEMATICS / Number Systems, Mathematics, computer science, Physics, Information technology: general issues, Information technology: general topics, Technology, Engineering, Agriculture, Technology, Engineering, Agriculture, Industrial processes