I'm french, and I still can't understand the lack of explanation of my french teacher considering an english teacher just explained me way better how this works in 15 minutes than my teacher in 3 months. tysm ❤
I read that this method is useful for finding the roots of polynomials via repeating the process to estimate limits that represent the eigenvalues of the equivalent matrix.
please, do you have some url link to QR decomposition for non-sqare matrices ? (I read that QR is possible to apply for non-squared matrix also) Thanks.
Hello, nice tutorial however, could you explain why signs are completly the opposite when we compute it on matlab? I had the same problem on an other matrice: A=[1 2 3;2 4 5;1 6 7], when I apply [Q R]=qr(A), it returns me some negative values in R matrix. By definition it shouldn't be possible... could you explain this please?
@@medaphysicsrepository2639 Ah, personal notes should note in public comments :) Nice that you can use the video. I also have a whole course about linear algebra: tbsom.de/s/la
![QR decomposition (for square matrices) [dark version]](/img/1.gif)
Download the PDF version here: tbsom.de/s/ov
Finally someone that doesnt waste time, and shows clear precise explanations, thanks a lot
I'm french and you are a german speaking english explaining this better than my teacher ... thanks
Thank you very much! I will also do some French tutorials in future :)
I'm french, and I still can't understand the lack of explanation of my french teacher considering an english teacher just explained me way better how this works in 15 minutes than my teacher in 3 months. tysm ❤
oui j'avoue en cours on comprend rien
How have your classes been going?
QR decomposition? More like "This is excellent exposition!" Thanks again so much for all of these videos.
charro
@@zuper5842What does that mean?
quick , clear and complete. Why doesn't my college prof explain like you? Thanks! I subscribed.
Nice :)
Your videos are so nicely made I'm motivated to learn German just to understand some of them 😂. Hope you're well!
Lol
so touching for an excellent video
Helps a lot with my Exam preperations.
How'd your exams go?
@@PunmasterSTP barely passed
@@umbranocturna6342 Hey, a pass is a pass! How have things been going since then?
Thanks, crystal clear and easy to understand explanation
Even if english isn't my native language so its a little bit complicated ur video is amazing thank you
The accent is sometimes hard for me to catch but the video is great
This is Gold
Thank you so much!! Perfect explanation!
Glad it was helpful! :)
Thank you, your video save my exercise!
You are very welcome :)
How'd the rest of your class go?
@@PunmasterSTP It goes well.:-)
@@lancelofjohn6995 I am glad to hear it!
Very helpful, thank you!
Thank you for the support!
before normalizing, werent you suppose to divide by the dot product by ?
You are correct. But since q1 is normalized which makes its dot product equals 1, it is skipped.
Thx, great help + easy explanation
Glad it helped!
Thanks a lot sir, I understood the actual meaning Gram Schmidt process as well as QR decomposition.
I read that this method is useful for finding the roots of polynomials via repeating the process to estimate limits that represent the eigenvalues of the equivalent matrix.
i love the energy and thankyou very much for explanation.
...yo bruh!! Stay safe from covid19✌️
These videos are awesome, thank you for everything. Do you plan to translate your linear algebra series to English as well?
Yes, I am working on it :) ruclips.net/p/PLBh2i93oe2qtXb7O-kPaEhAtFEb3n9Huu
Would you consider doing a video on the SVD?
Yes, that is the plan.
Thank you so much. Your videos are awesome.
A really nice explication for the theory behind the QR Method in Numerical Methods ! Thank you !
Nice, thank you!
Many thanks for this inspiring and profesional talk. What software do you use for recording and writing?
I've seen him mention elsewhere that he uses Xournal.
Thank you so much, you really helped
Wie geht es ihnen!?
I am new in Germany and loving this country
realy good video thank you a lot
Thank you!
Youre welcome!
QR to tematycxny filmik
@@KrysiaJadzińska Indeed :)
excellent video
Thanks :)
Very helpful!
Hettinger Divide
thank you sosososo much😍
You're welcome 😊
Don't you have to consider the sign in front of scalar products in your R matrix?
The matrix R contains scalar products only without the sign
very good video🤝🙏👏
I've just solved your last example and it was hard)
please, do you have some url link to QR decomposition for non-sqare matrices ? (I read that QR is possible to apply for non-squared matrix also) Thanks.
It's not so different. Maybe wikipedia can already help you.
Hello, nice tutorial however, could you explain why signs are completly the opposite when we compute it on matlab?
I had the same problem on an other matrice: A=[1 2 3;2 4 5;1 6 7], when I apply [Q R]=qr(A), it returns me some negative values in R matrix. By definition it shouldn't be possible... could you explain this please?
Which signs?
What is Q come the name what might for example décomposition of LU
L lower
U Upper
Q could refer to "orthogonal matrix" where O is not used for obvious reasons :D
Thankyou Sir
Why is a1 = 1? I thought a1 is the vector (1 1)
I think you're right; a1 is the vector (1,1). But after you normalize it and make q1, then the magnitude of that normalized vector is 1.
Inserts "Nooice" gif
example 10:20
My gosh.. QR decomposition by hand for a 5x3 matrix A is so tedious...
I believe you :D
7:47
13:30
@@brightsideofmaths personal note bc I know im going to be coming back to this video again, great job
@@medaphysicsrepository2639 Ah, personal notes should note in public comments :)
Nice that you can use the video. I also have a whole course about linear algebra: tbsom.de/s/la
macam mana nak buat?