内容简介：Gilbert Strang.For more information about using these materials and the Creative Commons license, see ourTerms of Use.
A 2020 Vision of Linear Algebra
Professor Strang introduces his new vision of how to teach linear algebra. (Image by MIT OCW)
Instructor(s)
Prof. Gilbert Strang
Need help getting started?Don't show me this again
Don't show me this again
Welcome!
This OCW supplemental resource provides material from outside the official MIT curriculum.
MIT OpenCourseWareis a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.
No enrollment or registration.Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates.
Knowledge is your reward.Use OCW to guide your own life-long learning, or to teach others. We don't offer credit or certification for using OCW.
Made for sharing. Download files for later. Send to friends and colleagues. Modify, remix, and reuse (just remember to cite OCW as the source.)
Learn more at Get Started with MIT OpenCourseWare
Resource Features
Course Description
These six brief videos, recorded in 2020, contain ideas and suggestions from Professor Strang about the recommended order of topics in teaching and learning linear algebra. The first topic is called A New Way to Start Linear Algebra . The key point is to start right in with the columns of a matrix A and the multiplication Ax that combines those columns.
That leads to The Column Space of a Matrix and the idea of independent columns and the factorization A = CR that tells so much about A . With good numbers, every student can see dependent columns.
The remaining videos outline very briefly the full course: The Big Picture of Linear Algebra ; Orthogonal Vectors ; Eigenvalues & Eigenvectors ; and Singular Values & Singular Vectors . Singular values have become so important and they come directly from the eigenvalues of A'A .
You can see this new idea developing in thefirst video lecture of Professor Strang’s 2019 course 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning .
Course Collections
See related courses in the following collections:
Find Courses by Topic
Gilbert Strang. RES.18-010 A 2020 Vision of Linear Algebra. Spring 2020. Massachusetts Institute of Technology: MIT OpenCourseWare,https://ocw.mit.edu. License: Creative Commons BY-NC-SA .
For more information about using these materials and the Creative Commons license, see ourTerms of Use.
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持 码农网
猜你喜欢:
本站部分资源来源于网络，本站转载出于传递更多信息之目的，版权归原作者或者来源机构所有，如转载稿涉及版权问题，请联系我们。
Visual C++/Turbo C串口通信编程实践
熊光明 / 电子工业出版社 / 2004-10 / 55.0
一起来看看 《Visual C++/Turbo C串口通信编程实践》 这本书的介绍吧!
