This leading textbook for first courses in linear algebra comes from the hugely experienced MIT lecturer and author Gilbert Strang. The book's tried and tested approach is direct, offering practical explanations and examples, while showing the beauty and variety of the subject. Unlike most other linear algebra textbooks, the approach is not a repetitive drill. Instead it inspir...
This leading textbook for first courses in linear algebra comes from the hugely experienced MIT lecturer and author Gilbert Strang. The book's tried and tested approach is direct, offering practical explanations and examples, while showing the beauty and variety of the subject. Unlike most other linear algebra textbooks, the approach is not a repetitive drill. Instead it inspires an understanding of real mathematics. The book moves gradually and naturally from numbers to vectors to the four fundamental subspaces. This new edition includes challenge problems at the end of each section. Preview five complete sections at math.mit.edu/linearalgebra. Readers can also view freely available online videos of Gilbert Strang's 18.06 linear algebra course at MIT, via OpenCourseWare (ocw.mit.edu), that have been watched by over a million viewers. Also on the web (http://web.mit.edu/18.06/www/), readers will find years of MIT exam questions, MATLAB help files and problem sets to practise what they have learned.
作者简介
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Gilbert Strang received his Ph.D. from UCLA and since then he has taught at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is a Fellow of the American Academy of Arts and Sciences. He is a Professor of Mathematics at MIT and an Honorary Fellow of Balliol College. Professor Strang has published eight textbooks. He received the von Neumann Medal of the US Association...
Gilbert Strang received his Ph.D. from UCLA and since then he has taught at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is a Fellow of the American Academy of Arts and Sciences. He is a Professor of Mathematics at MIT and an Honorary Fellow of Balliol College. Professor Strang has published eight textbooks. He received the von Neumann Medal of the US Association for Computational Mechanics, and the Henrici Prize for applied analysis. The first Su Buchin Prize from the International Congress of Industrial and Applied Mathematics, and the Haimo Prize from the Mathematical Association of America, were awarded for his contributions to teaching around the world.
Let me connect these special matrices A and S to calculus. The vector
x changes to a function x(t). The differences Ax become the derivative dx/ dt = bet). In
the inverse direction, the sum Sb becomes the integral of bet). (查看原文)
序言节选: Even a supercomputer doesn't want the inverse matrix: too slow. Inverses gives the simpliest formula x=A^(-1)b but not the top speed. And everyone must know that determinants are even slower-there is no way a linear algebra course should begin wi...
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1 有用 萌萌 2014-06-13 08:29:07
"SVD is the climax of this linear algebra course". =================================== 只看书不刷题是不会有多大提高的...
0 有用 uma y 2014-06-18 12:43:16
Matrix rules.
0 有用 老伐开心 2014-06-28 08:09:04
oddly, 比MIT校内作业考试更像习题的东西, 是我为了没解释清楚的结论自己推的证明. 虽然很快会忘记.
1 有用 tommy 2012-12-07 15:20:12
Gilbert Strang本尊非常友好~ 上一封邮件交流说似乎要出中文版了
0 有用 VeraTulips 2011-08-17 16:26:48
终于入门了,不过以后的路还很长,了解数据和数据背后的意义的路程才刚刚开始。