Gilbert Strang was an undergraduate at MIT and a Rhodes Scholar at Balliol College, Oxford. His Ph.D. was 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, an Honorary Fellow of Balliol College, and a member of the National Academy of Sciences. Professor Strang has published eleven books:
Differential Equations and Linear Algebra (2014)
Introduction to Linear Algebra (1993,1998,2003,2009)
Linear Algebra and Its Applications (1976,1980,1988,2005)
An Analysis of the Finite Element Method, with George Fix (1973, 2008)
Introduction to Applied Mathematics (1986)
Calculus (1991)
Wavelets and Filter Banks, with Truong Nguyen (1996)
Linear Algebra, Geodesy, and GPS, with Kai Borre (1997)
Computational Science and Engineering (2007)
Essays in Linear Algebra (2012)
Algorithms for Global Positioning, with Kai Borre (2012)
He was the President of SIAM during 1999 and 2000, and Chair of the Joint Policy Board for Mathematics. 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. His home page is math.mit.edu/~gs/ and his video lectures on linear algebra and on computational science and engineering are on ocw.mit.edu (mathematics/18.06 and 18.085).
如果看那个公开课,读此书就算英语不是非常好也能流畅阅览,可以说是将各线代定理直观地展示在人面前,看到线代真正的精妙与威力,抓住了核心,内容也全,正交的那一章尤其精彩,最小二乘法相当直观,特征值的那章,简单不失深度,作为初步入门是再好不过了,适合大一新生学线...
评分次书是 MIT 线性代数课程的教材,同时Strang 教授的讲课录像也可以在MIT的开放课程网站下载。 就我个人经验来看,线性代数在大学工科里是最为被忽视,而实际上又最为有用的一门数学分支。从信号处理到文本挖掘,到处都是矩阵,矩阵,矩阵。 国内的线性代数教材我很久以前翻...
评分第一个直观的感受是非常深入浅出。 每一章都是从一个小小的例子出发,然后到稍微复杂一点例子。这些例子非常简单,有的仅仅只是涉及到2x2矩阵的问题,大量的图片以及结合matlab的例子,给人以非常直观的感受,似乎读者以及从例子触及到了其中的奥妙。然后再提出某一个或者定义...
课已经刷完了,书还没有看完,希望至少看到第7章吧。总的来说真的很好,但有些我以为比较重要的话题过的有点快(比如Linear transformation)....刷到了第8章。需要回顾定期回顾一下重点知识:四个子空间,不同的factorization,determinant以及linear transformation(这个感觉貌似不是很扎实).有一个小震撼是原来Ax=b里面包含了那么多层的含义!甚至很大一部分的factorization都是为了求最接近的解。
评分看的是Gilbert Strang在MIT的Open course视频。讲得真是通透。耗时一个月。
评分书是好书,可是为什么那么贵呢?
评分MITOCW解惑。计量学不好的原因是线代没学好
评分After being tired of 快速入门 “极限编程” 通过冒烟测试然后迅速淡忘,我选择建筑性地补习线性代数(为了学习机器学习)事实证明糟糕地表达和结构安排造成的隔阂远胜过母语和另一门语言之间地隔阂 国内教材真的太差了 授课顺序也很不合理
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