矩阵计算
Matrix computations
Gene H. Golub · 初版 1983 年
19人推荐
24位读者提及
26次提及
为什么值得读
- 数值线性代数领域公认的研究生必读参考著作
- 全面覆盖算法线性代数，提供扎实的专业理解
- 直击矩阵计算底层的实际细节，拒绝空洞理论
“经过彻底修订、更新并扩充了超过三分之一的篇幅，Golub 与 Van Loan 这部 scientific computing 领域的里程碑之作的新版，提供了开发数值软件所需的关键数学背景和算法技能。关于 high performance computing 的新章节利用矩阵乘法展示了如何针对向量处理器以及具有共享或分布式内存的计算机来组织计算。同样新增的还有关于线性方程组、least squares 以及 eigenvalue problems 的并行向量方法的讨论。”——封底。
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……骗自己说你“懂”线性代数，其实更接近真相的说法是你曾经懂过线性代数，但如今连基本问题都答不上来。看完 Strang 之后，Golub 讲矩阵计算（Matrix Computations）的那本书也确实神级。[3] [0]: https://www.youtube.com/watch?v=ZK3O402wf1c&list=PL49CF3715C... [1]: https://www.youtube.com/watch?v=Cll03FUxjuk [2]: https://ocw.mit.edu/courses/mathematics/18-650-statistics-fo...…
…tell yourself that you "know" linear algebra when it would be closer to the truth to say that you used to know linear algebra, but can't answer even basic questions today. After Strang, Golub's book on Matrix Computations is also really incredible.[3] [0]: https://www.youtube.com/watch?v=ZK3O402wf1c&list=PL49CF3715C... [1]: https://www.youtube.com/watch?v=Cll03FUxjuk [2]: https://ocw.mit.edu/courses/mathematics/18-650-statistics-fo...…
……剑桥大学。全面理解算法线性代数也很重要。到了某个阶段，你应该对以下书目中的大部分内容感到熟悉：10.) Golub, G., and Van Loan, C. (1996). 《Matrix Computations》 Johns Hopkins。了解一些信息论也是有好处的。经典教材是：11.) Cover, T. and Thomas, J. 《Elements of Information Theory》 Wiley。最后，如果你想开始学习一些……
…Cambridge. Getting a full understanding of algorithmic linear algebra is also important. At some point you should feel familiar with most of the material in 10.) Golub, G., and Van Loan, C. (1996). "Matrix Computations" Johns Hopkins. It's good to know some information theory. The classic is: 11.) Cover, T. and Thomas, J. "Elements of Information Theory" Wiley. Finally, if you want to start to learn some…
Golub 的《Matrix Computations》在这方面仍然是必读的参考书：http://web.mit.edu/ehliu/Public/sclark/Golub%20G.H.,%20Van%2...
Golub's "Matrix Computations" remains a must-read reference text here: http://web.mit.edu/ehliu/Public/sclark/Golub%20G.H.,%20Van%2...
数值线性代数领域两本经典的研究生教材是 Golub 和 Van Loan 的《Matrix Computations》以及 Trefethen 和 Bau 的《Numerical Linear Algebra》。你要找的参考资料（包含可运行的 C++ 代码）是 William Press 等人的《Numerical Recipes》。还有其他几本……
The two classic graduate texts for numerical linear algebra are Matrix Computations by Golub and Van Loan and Numerical Linear Algebra by Trefethen and Bau. The reference you are looking for (includes executable C++) is Numerical Recipes by William Press et al. There are a couple other…
……把马车放回马后面（把本末倒置的事纠正过来）。学着手算行化简纯粹是无用功，只见树木不见森林。但如果你想了解计算方面的具体细节，Golub 和 Van Loan 的《Matrix Computations》算得上相当经典了。
…horse where it belongs. Learning to do row reduction by hand is a really pointless exercise that misses the forest for the trees. But if want want the nitty gritty on computation, Golub and Van Loans "Matrix Computations" is pretty classic.
……我们在现实生活中看到的现象遵循幂律分布，以及这意味着什么 3. 《达·芬奇传》（Walter Isaacson）——令人惊讶的是，现代人对达芬奇的形象塑造与他真实的个性竟然如此脱节 4. 《Matrix computations》（第 3 版，Gene Golub, Charles van Loan）——如果你对线性代数感兴趣，这本书很值得一读 5. 《如何进行有效反馈》（哈佛商业评论）——对于理解如何处理……很有帮助
…phenomenon we see in real life follow a power law and what that means 3. Leonardo da Vinci (Walter Isaacson) - surprising how little of da Vinci's real personality is reflected in his modern image 4. Matrix computations – third edition (Gene Golub, Charles van Loan) - good read if you're into linear algebra 5. Giving effective feedback (Harvard business review) - useful for getting an understanding on how to handle…