|
heocon19ca (November 30, 1999 at 12:00 am)
One of the reason is that after studying and proving results for row space of a matrix A, you can then easily generalise them for column space of A by looking at the row space of A^T.
AgileSooftware (November 30, 1999 at 12:00 am)
わかりやすい線形代数の講義だと思う。
勉強会のねたに使えそうだ。
JackMRich (November 30, 1999 at 12:00 am)
This is the first time ive learned Matricies ... Why would you want to transpose a matrix what benefits swapping the columns for row etc?
EnderMB (November 30, 1999 at 12:00 am)
So far I am very impressed with the quality of these lectures. I attend a post-polytechnic university in the United Kingdom and my CS course offers very few Maths subjects, so these lecture videos are brilliant for someone looking to learn.
MathMikie (November 30, 1999 at 12:00 am)
this lecture is not really essential because it is possible to work those out from the facts in lecture 3
jonahansen (November 30, 1999 at 12:00 am)
Hey folks, this is the guy to learn it from, too!
ljusorange (November 30, 1999 at 12:00 am)
Much appreciated. I've missed a few lectures due to serious illnesses, and although I live in Sweden, this contribution from MIT make it possible to catch-up almost friction-free. Thanks.
214899 (November 30, 1999 at 12:00 am)
great refresh for a MA candidate, who missed a lot in BA.
lyml (November 30, 1999 at 12:00 am)
Theese are great. I missed a large part of the education during linear algebra and with theese videos I don't have to wait untill next year to catch up but can do it as I have time.
Watching theese 35 videos is something you could do in a couple of days if you work fulltime with it.
Also, you could do it whenever you want to :). |
