Lessons in Scientific Computing: Numerical Mathematics, Computer Technology, and Scientific Discovery

Author:   Norbert Schorghofer (University of Hawaii, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138070585


Pages:   190
Publication Date:   10 October 2018
Format:   Paperback
Availability:   In Print   Availability explained
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Lessons in Scientific Computing: Numerical Mathematics, Computer Technology, and Scientific Discovery


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Overview

Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines. Each chapter provides an insightful lesson and viewpoints from several subject areas are often compounded within a single chapter. Written with an eye on usefulness, longevity, and breadth, Lessons in Scientific Computing will serve as a ""one stop shop"" for students taking a unified course in scientific computing, or seeking a single cohesive text spanning multiple courses. Features: Provides a unique combination of numerical analysis, computer programming, and computer hardware in a single text Includes essential topics such as numerical methods, approximation theory, parallel computing, algorithms, and examples of computational discoveries in science Not wedded to a specific programming language

Full Product Details

Author:   Norbert Schorghofer (University of Hawaii, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.385kg
ISBN:  

9781138070585


ISBN 10:   1138070580
Pages:   190
Publication Date:   10 October 2018
Audience:   College/higher education ,  Tertiary & Higher Education ,  Undergraduate
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

1. Analytical and Numerical Solutions 2. A Few Concepts from Numerical Analysis 3. Roundoff and Number Representation 4. Programming Languages and Tools 5. Sample Problems; Building Conclusions 6. Approximation Theory 7. Other Common Computational Methods 8. Performance Basics and Computer Architectures 9. High-Performance and Parallel Computing 10. The Operation Count; Numerical Linear Algebra 11. Random Numbers and Stochastic Methods 12. Algorithms, Data Structures, and Complexity 13. Data 14. Building Programs for Computation and Data Analysis 15. Crash Course on Partial Differential Equiations 16. Reformulated Problems

Reviews

"""The book is a modernized, compact introduction into scientific computing. It combines the various components of the field (numerical analysis, discrete numerical mathematics, computer science, and computational hardware), subjects that are most often taught separately, into one book. The book takes a broad and interdisciplinary approach."" —Hans Benker, Merseburg, in Zentralblatt MATH 1397 ""The short, but insightful and deep book fills a gap in between scientific computing, computer science, numerics, and programming in various languages. I like very much that it does not build on one or the other language, but conveys concepts. I will definitely recommend it to bachelor and master students of any science or engineering major and will use it for teaching myself. "" —Detlef Lohse, Physics of Fluids, University of Twente, The Netherlands ""In an age when technical information is readily available on the Internet, what should a textbook on scientific computing look like? Norbert Schorghofer has a clear vision: his book provides a basic introduction to an extremely broad set of topics, enough to get a student started, and enough to pique the student's interest in delving deeper, either on the web or with more advanced books. Topics covered range across traditional numerical analysis, programming languages, modeling, computer architectures and parallel computing, and handling big data."" — William H. Press, University of Texas at Austin"


The book is a modernized, compact introduction into scientific computing. It combines the various components of the field (numerical analysis, discrete numerical mathematics, computer science, and computational hardware), subjects that are most often taught separately, into one book. The book takes a broad and interdisciplinary approach. -Hans Benker, Merseburg, in Zentralblatt MATH 1397


The book is a modernized, compact introduction into scientific computing. It combines the various components of the field (numerical analysis, discrete numerical mathematics, computer science, and computational hardware), subjects that are most often taught separately, into one book. The book takes a broad and interdisciplinary approach. -Hans Benker, Merseburg, in Zentralblatt MATH 1397 The short, but insightful and deep book fills a gap in between scientific computing, computer science, numerics, and programming in various languages. I like very much that it does not build on one or the other language, but conveys concepts. I will definitely recommend it to bachelor and master students of any science or engineering major and will use it for teaching myself. -Detlef Lohse, Physics of Fluids, University of Twente, The Netherlands


Author Information

Norbert Schörghofer is a Senior Scientist at the Planetary Science Institute and lives in Honolulu, Hawaii. After earning degrees in physics from the University of Vienna and the University of Chicago, he held visiting positions at MIT and Caltech, before moving to the University of Hawaii. His research areas are scientific modelling, planetary science, and astrogeophysics. He has published over 60 peer reviewed publications and has been a reviewer for 30 journals. His research has been featured in New Scientist, National Geographic Magazine, Astronomy Magazine, Huffington Post, and other mass media.

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