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Writing scientific software a guide for good style

✍ Scribed by Oliveira, Suely;Stewart, David


Publisher
Cambridge University Press
Year
2006
Tongue
English
Leaves
317
Category
Library

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✦ Synopsis


This manual of scientific computing style will prove to be an essential addition to the bookshelf and lab of everyone who writes numerical software. Scientists, engineers and computer scientists who follow its advice will learn how to write good software, and how to test it for bugs, accuracy and performance.;Cover; Half-title; Title; Copyright; Contents; Preface; 1 Why numerical software?; 2 Scientific computation and numerical analysis; 3 Priorities; 4 Famous disasters; 5 Exercises; 6 Basics of computer organization; 7 Software design; 8 Data structures; 9 Design for testing and debugging; 10 Exercises; 11 Be algorithm aware; 12 Computer architecture and efficiency; 13 Global vs. local optimization; 14 Grabbing memory when you need it; 15 Memory bugs and leaks; 16 Sources of scientific software; 17 Unix tools; 18 Cubic spline function library; 19 Multigrid algorithms.

✦ Table of Contents


Cover
Half-title
Title
Copyright
Contents
Preface
1 Why numerical software?
2 Scientific computation and numerical analysis
3 Priorities
4 Famous disasters
5 Exercises
6 Basics of computer organization
7 Software design
8 Data structures
9 Design for testing and debugging
10 Exercises
11 Be algorithm aware
12 Computer architecture and efficiency
13 Global vs. local optimization
14 Grabbing memory when you need it
15 Memory bugs and leaks
16 Sources of scientific software
17 Unix tools
18 Cubic spline function library
19 Multigrid algorithms.


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