Programming with Multiple Precision
Language: English
Published by Springer-Verlag GmbH, 2012
- Hardcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
AbeBooks seller since September 30, 2021
Condition: Used - Fine
US$ 338.38
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Add to basketItem description from seller
Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller Inventory # 11556381/12
- Title
- Programming with Multiple Precision
- Author
- Elena Nikolaevskaya, Alexandr Khimich, Tamara Chistyakova
- Publisher
- Springer-Verlag GmbH
- Publication year
- 2012
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3642256724
- ISBN 13
- 9783642256721
- Seller catalogs
- Bücher
GMP and MPFR are portable libraries for arbitrary precision arithmetic, large set of functions which allows to organize the computational process with different digit capacity.
This book is a real guide for writing programs in C/C++ using the GMP and MPFR libraries to improve the accuracy of the solutions, including in parallel programming. The book contains many examples of the program code with its experiments results. It will be interesting for many scientists, programmers and students, who want to study programming, improve or expand their level programming. The book is useful for graduates in computer science and mathematics (perhaps too specialized for the most of undergraduates, at least in its present state), researchers in Numerical Analysis, Computer Algebra and developers of the multiple-precision libraries.
"Synopsis" may belong to another edition of this title.
From the Back Cover
GMP and MPFR are portable libraries for arbitrary precision arithmetic, large set of functions which allows to organize the computational process with different digit capacity.
This book is a real guide for writing programs in C/C++ using the GMP and MPFR libraries to improve the accuracy of the solutions, including in parallel programming. The book contains many examples of the program code with its experiments results. It will be interesting for many scientists, programmers and students, who want to study programming, improve or expand their level programming. The book is useful for graduates in computer science and mathematics (perhaps too specialized for the most of undergraduates, at least in its present state), researchers in Numerical Analysis, Computer Algebra and developers of the multiple-precision libraries.
"About the title" may belong to another edition of this title.
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