Mathematical Objects in C++: Computational Tools in A Unified Object-Oriented Approach

Author:   Yair Shapira
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138113763


Pages:   636
Publication Date:   28 June 2017
Format:   Paperback
Availability:   In Print   Availability explained
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Mathematical Objects in C++: Computational Tools in A Unified Object-Oriented Approach


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Author:   Yair Shapira
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   1.170kg
ISBN:  

9781138113763


ISBN 10:   113811376
Pages:   636
Publication Date:   28 June 2017
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Numbers. Geometrical Objects. Composite Mathematical Objects. Introduction to C. Introduction to C++. Implementation of Computational Objects. Three-Dimensional Applications. Appendix. References. Index.

Reviews

This is an exciting book on mathematics on one hand and computer programming on the other, and the reader can concentrate on one of the topics or both. The mathematics part focuses on teaching mathematics through constructive algorithms, ready for computer implementation. I believe this is the future view of these classical mathematical subjects. Many will find this book a major refresher of the mathematics literature. The programming part of the book serves as a very good introduction to C and C++, using meaningful and motivating examples from mathematics. The book is full of useful exercises of various difficulty. This fact makes the book very suitable as a textbook for a mathematics or computer science course. -Hans Petter Langtangen, Simula Research Laboratory and University of Oslo, Norway


Author Information

Yair Shapira is in the computer science department at Technion. His research interests include multigrid, preconditioning, and numerical methods.

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