Gilbert Strang is a Professor of Mathematics at Massachusetts Institute of Technology and an Honorary Fellow of Balliol College, of the University of Oxford, UK. His current research interests include linear algebra, wavelets and filter banks, applied mathematics, and engineering mathematics. He is the author or co-author of six textbooks and has published a monograph with George Fix titled “An Analysis of the Finite Element Method.” Professor Strang served as SIAM’s president from 1999-2000, chaired the U.S. National Committee on Mathematics from 2003–2004, and won the Neumann Medal of the US Association of Computational Mechanics in 2005. He is a fellow of the American Academy of Arts and Sciences.
Gilbert Strang's textbooks have changed the entire approach to learning linear algebra -- away from abstract vector spaces to specific examples of the four fundamental subspaces: the column space and nullspace of A and A'.
Introduction to Linear Algebra, Fourth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions. The basic course is followed by seven applications: differential equations, engineering, graph theory, statistics, fourier methods and the FFT, linear programming, and computer graphics.
Thousands of teachers in colleges and universities and now high schools are using this book, which truly explains this crucial subject.
Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.
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...
評分这本书很容易读,你几乎不需要任何大学预备知识,你很吃惊顺着作者的思路下去一些概念就这样被灌输进去了。作者通过研究线性方程组的理论(4种空间如封面所示)揭示了线性代数的重点:线性空间及其性质。 书中的很多地方有很强的几何直观性:比如行列式代表了n维多面体的体积。...
評分1.这本书是用空间的语言讲线性代数,而不是一些计算方法的简单拼凑,而向量空间是线性代数真正发挥作用的领域。 2.这本书阐述了线性代数四大基本定理(秩零,空间之间的关系,行列空间的正交向量,SVD),描述了一个矩阵的四个基本子空间(行空间,列空间,零空间,左零空间)...
評分这本书写了有3种方法 1.直接通过高斯消元得阶梯阵,然后通过回带求得 2.直接通过公式x=A^(-1)*b求得 3.通过零空间的全解加上一个特解求得 觉得这三种方法之中,还是最原始的消元法最管用,或者说掌握怎么消元是最基本的技巧。 第一种方法中,如果是正方阵,还可消元的A=L...
評分这本书写了有3种方法 1.直接通过高斯消元得阶梯阵,然后通过回带求得 2.直接通过公式x=A^(-1)*b求得 3.通过零空间的全解加上一个特解求得 觉得这三种方法之中,还是最原始的消元法最管用,或者说掌握怎么消元是最基本的技巧。 第一种方法中,如果是正方阵,还可消元的A=L...
A great book to review the knowledge!!!! 真正的牛人是能把很復雜的東西說的很簡單,迴味啊
评分http://vdisk.weibo.com/s/dAzf75uvpfTyK 講課錄像http://v.163.com/special/opencourse/daishu.html http://videolectures.net/mit1806s05_linear_algebra/
评分說真的,不喜歡這本書的編排.感覺就像這個教授自己上課的筆記一樣.
评分Gilbert的書和公開課拯救瞭我的數學!這輩子聽過的最好的數學課(這是我第一次體驗online courses) ! 嚮每個本科生強烈推薦自學這本教材!(又是dumb down的教材=_=)
评分終於入門瞭,不過以後的路還很長,瞭解數據和數據背後的意義的路程纔剛剛開始。
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