Numbers and Computers

Author:   Ronald T. Kneusel
Publisher:   Springer International Publishing AG
Edition:   Second Edition 2017
ISBN:  

9783319844152


Pages:   346
Publication Date:   13 July 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Numbers and Computers


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Full Product Details

Author:   Ronald T. Kneusel
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Second Edition 2017
Weight:   0.551kg
ISBN:  

9783319844152


ISBN 10:   3319844156
Pages:   346
Publication Date:   13 July 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Number Systems.- Integers.- Floating Point.- Pitfalls of Floating-Point Numbers (and How to Avoid Them).- Big Integers and Rational Arithmetic.- Fixed-Point Numbers.- Decimal Floating Point.- Interval Arithmetic.- Arbitrary Precision Floating-Point.- Other Number Systems.

Reviews

“Kneusel offers a book for all these audiences, and for anyone who would like to delve deeper into this branch of technology. … This book should be an excellent resource in the classroom. It can serve as a good reference for future use and can also be used very profitably for self-study.” (Edgar R. Chavez, Computing Reviews, May, 2018)​


Kneusel offers a book for all these audiences, and for anyone who would like to delve deeper into this branch of technology. ... This book should be an excellent resource in the classroom. It can serve as a good reference for future use and can also be used very profitably for self-study. (Edgar R. Chavez, Computing Reviews, May, 2018)


Author Information

Dr. Ronald T. Kneusel is a Senior Data Scientist with Harris Corportation. He received his Ph.D. in Computer Science from the University of Colorado, Boulder, in machine learning, and his M.S. in Physics from Michigan State University. His background includes work in breast cancer research and early functional MRI (Medical College of Wisconsin) through medical device development (MR, CT, US) to medical imaging and remote sensing image analysis. He has been deeply involved with software development at all levels since his first forays with an 8-bit Apple II+ computer in the early 1980s hooked him for life. Dr. Kneusel is currently working with Harris Corporation on the application of modern machine learning techniques to remote sensing imagery and related modalities. He is the author of multiple peer-reviewed research articles.

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