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From: MIT
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  • I am very happy to see the vidoe Orthogonal Matrices and Gram-Schmidt. from you, hopefully the others also are happy for You

  • Steady I Really Like This Video Orthogonal Matrices and Gram-Schmidt

  • Good, I like that you share this video Lecture 17: Orthogonal Matrices and Gram-Schmidt., I wish success always

  • Nice Video Orthogonal Matrices and Gram-Schmidt. That You Share , So Very Nice Thanks You

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  • after i watched this video Orthogonal Matrices and Gram-Schmidt., my insight is very open because the video is very good to give information

  • cool hab was geiles entdeckt haha

  • great teacher, i wish i could be there... :(

  • Nice lesson! Worth watching.

  • lucky we could be able watch it before its going to be disconnected~ but well hope his vedios will last here forever.

  • thanks professor gilbert

  • best gram-schmidt lecture i saw.

  • At 33:00, why does he write ((A^T b)/(A^T A))A instead of ((A A^T)/(A^T A))b? I thought the projection matrix was (A A^T)/(A^T A)?

  • Capitals for vectors are really confusing...

  • is isn't a big deal - that's schmidts contributeion:D

  • I find this difficult to masterbate to

  • I enjoy Prof Strang's videos, but I'm not as impressed as others. I have yet to take a class of Linear Algebra so these videos make up 100% of my knowledge of this subject. Maybe my handicap is having a negative impact on my opinion of him. Often his explanations are sloppy. He'll begin one sentence/idea and before he finishes it, he's jumped into several others (verbally and visually). But I seem to be alone in this as nobody else feels confused. It must be me.

  • @PhilOrzechowski yeah, probably it's you. because i find his lectures perfectly coherent.

  • His lectures are so much better than the ones in my university. Here they like to copy everything word by word from same handout we already have.

  • haha his reaction at 40:20 when he realizes ATb/ATA is 3/3 is priceless.

  • He made a mistake at the end. The first input (1,1) in the matrix R should be: R(1,1)=q1Ta. NOT R(1,1)=aTq1. I have his fourth edition book, and on page 181 (section 3.4) he defines R the way I did above.

  • It doesn't matter, the inner product is commutative, i.e.: you can change the order and get the same result.

  • @anuj68 estas equivocado, el producto interno no siempre es conmutativo, ej: cuando trabajas en espacios vectoriales complejos.

  • Comment removed

  • @TheRjay90 That's right and it's even in the 3rd edition (q1T . a) but is it a mistake? I don't believe so because q1T . a = aT . q1 and both lead to the same constant. Try it :)

  • His lectures are so much easier to understand than his book!! Thats probably why he teaches and doesn't just author books.

  • @ru0107 I agree with you. For me, his book is a little bit messy but his explanations in class are more clear than everyone.

  • @ru0107 I couldn't agree more !

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