The rank of a linear transformation is a fundamental concept in linear algebra and matrix factorizations are fundamental concepts in numerical linear algebra. Gil Strang's 2020 Vision of Linear Algebra seeks to introduce these notions early in an introductory linear algebra course.... 더 읽어보기 >>

I want to share some colorful images featuring the seven colors in the MATLAB axes color order.... 더 읽어보기 >>

A recent episode of the popular YouTube channel "blackpenredpen" is about solutions to the famous equation... 더 읽어보기 >>

My friend Paul Saylor passed away on November 7th.... 더 읽어보기 >>

On October 13, the U.S. Supreme Court ruled that the U.S. Census Bureau could stop the 2020 census early. Here is a link to just one of many recent news articles about the census, New York Times.... 더 읽어보기 >>

My post a few days ago, Gil Strang and the CR Matrix Factorization, generated a lot of email. Here is the resulting follow-up to that post.... 더 읽어보기 >>

My friend Gil Strang is known for his lectures from MIT course 18.06, Linear Algebra, which are available on MIT OpenCourseWare. He is now describing a new approach to the subject with a series of videos, A 2020 Vision of Linear Algebra. This vision is featured in a new book, Linear Algebra for Everyone.... 더 읽어보기 >>

Recently, I had email from a student in Italy.... 더 읽어보기 >>

I have added this section to my post a few weeks ago about using the SVD to measure partisanship in the United States Senate.... 더 읽어보기 >>

Many observers have noted that the United States Senate has become increasingly partisan in recent years. Votes are being made more frequently along strict political party lines. The singular value decomposition, the SVD, of matrices derived from records of roll call votes in the senate can measure this partisanship.... 더 읽어보기 >>