The answer: A\A is always I, except when it isn't.... 더 읽어보기 >>
The answer: A\A is always I, except when it isn't.... 더 읽어보기 >>
A news story released yesterday, March 31,by c|net has the headline... 더 읽어보기 >>
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 >>
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 >>
Line plots with a color order from one of our color maps are useful, and pretty.... 더 읽어보기 >>
The floating point arithmetic format that occupies 128 bits of storage is known as binary128 or quadruple precision. This blog post describes an implementation of quadruple precision programmed entirely in the MATLAB language.... 더 읽어보기 >>
This is a follow-up to my previous follow-up, posted several days ago. A very careful reader, Bruno Bazzano, contributed a comment pointing out what he called "a small typo" in my code for the classic Gram-Schmidt algorithm. It is more than a small typo, it is a serious blunder. I must correct the code, then do more careful experiments and reword my conclusions.... 더 읽어보기 >>
This is a follow-up to my previous post. Classical Gram-Schmidt and Modified Gram-Schmidt are two algorithms for orthogonalizing a set of vectors. Householder elementary reflectors can be used for the same task. The three algorithms have very different roundoff error properties.... 더 읽어보기 >>