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.
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.
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。...
评分如果自学的话 很多证明是没有的 所以 如果学习线性代数 还是主要听教授讲 如果上课是用这本教材的话 它主要是辅助的 所以啊 还是好好听教授的 别指望看了这本书就飞升了 看 MIT 的视频也不是说按教材讲的 关键还是看人讲 所以啊 单是引进这本教材是不行的 另外只做这上面的习题...
评分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)...
评分注:内容摘录自Recountings That’s a style that has developed. And it’s still there: the new book will be quite personal. I’m sure that many readers don’t approve of a conversational style, but others say to me, “I can hear you speaking as I read your bo...
让同济那本坑爹的书去死吧。。。。简直是毒害!Gilbert Strang让线性代数的美真真切切地展现,太优雅了。。。。。。
评分"SVD is the climax of this linear algebra course". =================================== 只看书不刷题是不会有多大提高的...
评分说真的,不喜欢这本书的编排.感觉就像这个教授自己上课的笔记一样.
评分可以把极为复杂的概念用非常通俗的语言讲解清楚,这就是Gibert Strang的魅力。系里的Goodman同志也在开这课,有时间去体验一把。 觉得跟国内的非常不同的地方在于,这本书可以告诉你如何获得真正概念,非常抽象地思考线性代数的问题,而不是怎么算行列式行变换列变换学了考了半月就还老师的东西。 据说李尚志的书不错,还有Meyer的,下一步接着看。
评分终于入门了,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。
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