Description
Handbook of Floating-Point Arithmetic (2nd Ed., Softcover reprint of the original 2nd ed. 2018)
Authors: Muller Jean-Michel, Brunie Nicolas, de Dinechin Florent, Jeannerod Claude-Pierre, Joldes Mioara, Lefèvre Vincent, Melquiond Guillaume, Revol Nathalie, Torres Serge
Language: EnglishSubjects for Handbook of Floating-Point Arithmetic:
147.69 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Muller Jean-Michel, Brunie Nicolas, de Dinechin Florent, Jeannerod Claude-Pierre, Joldes Mioara, Lefèvre Vincent, Melquiond Guillaume, Revol Nathalie, Torres SergePublication date: 01-2019
Support: Print on demand
147.69 €
In Print (Delivery period: 15 days).
Add to cart the book of Muller Jean-Michel, Brunie Nicolas, de Dinechin Florent, Jeannerod Claude-Pierre, Joldes Mioara, Lefèvre Vincent, Melquiond Guillaume, Revol Nathalie, Torres SergePublication date: 05-2018
627 p. · 17.8x25.4 cm · Hardback
Description
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Floating-point arithmetic is the most widely used way of implementing real-number arithmetic on modern computers. However, making such an arithmetic reliable and portable, yet fast, is a very difficult task. As a result, floating-point arithmetic is far from being exploited to its full potential. This handbook aims to provide a complete overview of modern floating-point arithmetic. So that the techniques presented can be put directly into practice in actual coding or design, they are illustrated, whenever possible, by a corresponding program.
The handbook is designed for programmers of numerical applications, compiler designers, programmers of floating-point algorithms, designers of arithmetic operators, and more generally, students and researchers in numerical analysis who wish to better understand a tool used in their daily work and research.
Provides a complete overview of a topic that is widely used to implement real-number arithmetic on modern computers, yet is far from being fully exploited to its full potential
Techniques are illustrated, whenever possible, by a corresponding program, allowing the reader to put them directly into practice
Develops smart and nontrivial algorithms for implementation of floating-point arithmetic in software
For a broad audience of programmers of numerical applications, compiler designers, programmers of floating-point algorithms, designers of arithmetic operators; as well as students and researchers in numerical analysis
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