Introduction to Linear Algebra pdf epub mobi txt 电子书 下载 2025
- 数学
- 线性代数
- LinearAlgebra
- 线代
- Linear-Algebra
- 计算机
- Strang
- 教材
- 线性代数
- 矩阵
- 向量
- 方程组
- 特征值
- 行列式
- 内积空间
- 线性变换
- 应用数学
- 高等数学
具体描述
作者简介
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).
目录信息
2 Solving Linear Equations
3 Vector Spaces and Subspaces
4 Orthogonality
5 Determinants
6 Eigenvalues and Eigenvectors
7 The Singular Value Decomposition (SVD)
8 Linear Transformations
9 Complex Vectors and Matrices
10 Applications
11 Numerical Linear Algebra
12 Linear Algebra in Probability & Statistics
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读后感
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...
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...
评分 评分实在是很棒的一本教科书，我在教学当中接触到该书以后，不由自主就想把它翻译过来，毕竟多数读者用英语直接阅读还存在一些困难。历时一年完成了翻译，现在到了和出版社接洽的时候了。（本人已经和原作者进行了联系。）广大读者的支持将有助于本书的出版！
评分如果看那个公开课，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...
用户评价
row picture 和 column picture 的角度看待矩阵很深刻
评分本科的时候可能学了个假线代。配合MIT的18.06视频效果拔群。
评分课已经刷完了，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。
评分书是好书，可是为什么那么贵呢？
评分在读第五版的，还不错，只可惜没有中文，无法对比理解。只读英文版，确实有所难处。
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