计算科学与工程
Computational Science and Engineering
Gilbert Strang · 初版 2007 年
5人推荐
10位读者提及
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为什么值得读
- 建立对科学计算基础问题的几何直观认知
- 深入展示线性代数在工程模拟中的高阶应用
- 结合数值数学方法解答前沿工程仿真难题
涵盖了计算科学与工程从建模到求解的整个范畴，兼顾解析方法与数值方法。本书为应用数学的方程和数值方法构建了系统框架。Gilbert Strang 曾向成千上万名工程师和科学家讲授过这门课程的内容（还有更多人通过 MIT 的 OpenCourseWare 18.085-6 学习）……全书以解题为导向而非以公式为导向：它将分析、算法与 MATLAB 代码融为一体，尽可能高效地阐释各个主题。内容涵盖应用线性代数与快速求解器、有限差分微分方程……
Hacker News 上怎么说
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……先对科学计算中的基本问题建立一些直觉，然后自己把必要的知识点串联起来，效果会好得多。我由衷推荐 Gilbert Strang 最近出版的《Computational Science and Engineering》[1]，以及 MIT 课程 18.085 和 18.086 的配套视频讲座。1. http://www-math.mit.edu/cse/
…much better off getting some intuition for basic problems in scientific computing and then making the requisite connections themselves. I can wholeheartedly recommend the recent book by Gilbert Strang "Computational Science and Engineering" [1] and companion video lectures for MIT courses 18.085 and 18.086. 1. http://www-math.mit.edu/cse/
……做做考卷，看看上面的内容你是不是学过。如果没学过，我强烈建议你考虑学一下这门课。有一本在更高阶层次上展示线性代数应用的书，是 Strang 的《Computational Science and Engineering》：http://math.mit.edu/~gs/cse/
…exam and see if it seems like something you've seen. If not, I strongly urge you to consider studying the subject. A book that shows linear algebra's applications at a more advanced level is Strang's Computational Science and Engineering: http://math.mit.edu/~gs/cse/
也许《Computational Science and Engineering》更适合你？http://math.mit.edu/~gs/cse/
Perhaps "Computational Science and Engineering" is a better fit for you? http://math.mit.edu/~gs/cse/
学完线性代数入门课程后，去看看 Strang 的《Computational Science and Engineering》：* http://www.youtube.com/view_play_list?p=F706B428FB7BD52C * http://www.youtube.com/view_play_list?gl=DE&hl=de&p=... 配套同名书籍。这是那种“如果去荒岛只能带 5 本书你会选哪本”级别的……
After the LA intro courses, see Strangs "Computational Science and Engineering": * http://www.youtube.com/view_play_list?p=F706B428FB7BD52C * http://www.youtube.com/view_play_list?gl=DE&hl=de&p=... based on the book of the same name. This is one of "name 5 books you would take…
这门学科的一个很好的通识入门是 Strang 的《Computational Science and Engineering》（http://bookstore.siam.org/WC07/）——本质上是数值数学，但侧重在科学和工程仿真中的应用。
A good general introduction to the topic is Strang's "Computational Science and Engineering" (http://bookstore.siam.org/WC07/) - basically numerical mathematics, but with applications in simulations for science and engineering.
是的，顺便提一句相关的：今天早上我粗略翻了翻 Gilbert Strang 写的《Computational Science and Engineering》的前言，他也提到，（至少一部分）数学应该与应用和算法结合起来思考；由于这些以往都是高深硬核的主题，传统上它们一直是割裂开来的……
Yes, and on a related note: Today morning I skimmed the preface to Computational Science and Engineering by Gilbert Strang, and he also states, that (at least some) math should be thought alongside applications and algorithms, which, since these used to be intense topics, have been traditionally separated…