Writing Scientific Software: A Guide to Good Style

本书旨在指导科研人员、工程师及计算机科学家如何设计、编写、测试、调试及修改数值软件,并应用于从气象学到金融等多个领域。书中提供了高效编程的实践建议,避免常见的陷阱,使用多种编程语言解释技巧,并通过两个详细的设计案例进行说明。

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版权声明:原创作品,允许转载,转载时请务必以超链接形式标明文章原始出版、作者信息和本声明。否则将追究法律责任。 http://blog.youkuaiyun.com/topmvp - topmvp
The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewarts style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.
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