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Programming with Multiple Precision (Paperback)

Elena Nikolaevskaya, Alexandr Khimich, Tamara Chistyakova

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ISBN 10: 364243374X / ISBN 13: 9783642433740
Editorial: Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany, 2014
Nuevos Condición: New Encuadernación de tapa blanda
Librería: The Book Depository EURO (London, Reino Unido)

Librería en AbeBooks desde: 29 de abril de 2014

Cantidad disponible: 10

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Descripción

Language: English . Brand New Book. 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. N° de ref. de la librería AAC9783642433740

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Detalles bibliográficos

Título: Programming with Multiple Precision (...

Editorial: Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany

Año de publicación: 2014

Encuadernación: Paperback

Condición del libro:New

Edición: 2012 ed..

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Reseña del editor:

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.

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