Top Comments
All Comments (15)
-
Most enlightening 11 min of linear algebra I have ever seen. thank you SO MUCH!
btw. does this mean that any linearly independent matrix that is row reduced will equal its:Identity matrix?.. and that the dim of the NUL of the matrix must always = 0, therefore the dim of Col(A) must equal = the n number of columns which also equals the of rank(A)?
-
why does it take 12 minutes to say the same thing over and over and over? i kept thinking we were getting to a point so i watched the whole thing
I GET IT
if the vectors in A are lin. indep.
N(A) = {0}
thats all this video says, move along
-
@pedroissler Man, I have to disagree. I'm not even in college, but I know derivatives, integrals, and now i'm learning linear algebra all thanks to Sal. I think this videos could substitute teachers "in real life".
-
@pedroissler I'm sorry, but I disagree with you. Some teachers explain math in an extremely technical way, making it hard for students that aren't math savvy to understand. And heck, some teachers are just lousy. I think Sal is extremely clear and informative in his delivery.
-
@ionglacier Don't demean your teacher. You were only able to understand it in 11 minutes and clearly because you went through one and a half hour of cramming with your teacher.. These videos are good to revise but in no way substitute your teacher..
-
@tareqhardan if you're talking about the nullspace being the zero vector, then that means that the columns of the original matrix are linearly independant
-
i jus might nt fail my linear algebra exam tmmrw.......u should cm teach at the university of toronto. :)
-
Thank you so much! I have a final soon and I was having trouble learning from a book. Thank you!
-
may alimighty lord bless you and your family for great afford of yours
why does it only takes you to perfectly explain an entire lecture worth of information in 11min while my prof takes an hour and a half to explain the same thing which is also not as clear? lol great videos
ionglacier 2 years ago 18
Keep going on these Linear Algebra videos they're very good....
Argonaut1337 2 years ago 12