Gram-Schmidt Orthogonalization | MIT 18.06SC Linear Algebra, Fall 2011

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  • Опубликовано: 13 окт 2024
  • Gram-Schmidt Orthogonalization
    Instructor: Ana Rita Pires
    View the complete course: ocw.mit.edu/18-...
    License: Creative Commons BY-NC-SA
    More information at ocw.mit.edu/terms
    More courses at ocw.mit.edu

Комментарии • 104

  • @linglingfan6564
    @linglingfan6564 4 года назад +18

    A feature of Prof. G. Strang's Linear Algebra is to treat a matrix as columns and matrix algebra simply as the combination of columns. This technique is vividly displayed in this tutorial. Concise, clear, insightful! No other word for MIT, just the best. And those 9-panel blackboards: the best instructional tool.

  • @frankshuzhi
    @frankshuzhi 7 лет назад +18

    These recitations are such a great addition to the lectures. Simple but clear.

  • @ronicave8522
    @ronicave8522 4 года назад +13

    Wow she makes the process seem so easy and natural. Love it!

  • @FlareSoul69
    @FlareSoul69 10 лет назад +55

    Every time I hit 'pause' I end up coming back a week later... Great instruction!

  • @MichaelBazik
    @MichaelBazik 12 лет назад +13

    You literally just moved my grade from an B to an A in less that 5 minutes; I have been looking for this type of solution for hours on the internet. It would seem that only engineering institutions teach this method using column vectors. THANKS!!!!

  • @SajjadZangiabadi
    @SajjadZangiabadi 10 месяцев назад

    This video was extremely helpful and clear in explaining how to perform the Gram-Schmidt orthogonalization for QR decomposition. The instructor demonstrated how to project vector b onto a and find the orthonormal vectors q1, q2, and q3. She also explained how to calculate the R matrix. The equation A = QR implies that the columns of A (a, b, c) can be expressed as a combination of the orthonormal vectors q1, q2, and q3. This fact was used to find the R matrix. This explanation was very well done and easy to follow. Thank you for this great lesson!

  • @satiullah1237
    @satiullah1237 3 года назад +1

    you have used a very smart approach to get the solution. It helped me a lot. Thank you, Maam.

  • @joeldanie3510
    @joeldanie3510 3 года назад +1

    I just love how you all teach using the 'bigger picture'. love ya all

  • @kazaakas
    @kazaakas 12 лет назад +2

    As far as I understand it the projection of for example: b onto q1 is the dot product of b and q1 mutiplied by q1 itsself.
    She's doing it in this video all the time, but the step of calling it the projection is just skipped and she goes straight to the part where its translated into dot(b,q1)*q1

  • @kazaakas
    @kazaakas 12 лет назад +6

    You made me understand this in about 15 minutes whereas I couldn't after a whole semester in my native language!
    Thanks very much!
    I've got to say I'm still a bit confused how to produce the R-matrix when the matrix is not precomputed to get a Q matrix that does not consist of only integers.

  • @godwinokotch9623
    @godwinokotch9623 10 лет назад +5

    This is awesome. I have revised for my exam with ease on this concept.

  • @KissadanHisseler
    @KissadanHisseler 7 лет назад +1

    thank you very much.ı have an exam about this course.ı try to find a good source on internet but ı couldnt.hopefully ı saw thıs mıt course.ı learnt everything in a just 10 min.thank you again.god bless you!

  • @itgangelacamposm5085
    @itgangelacamposm5085 Год назад

    You are the best given clasess... Now, I know how to applied the gram-schmidt method in matrix A =QR...thanks so much

  • @aniksamiurrahman6365
    @aniksamiurrahman6365 3 года назад

    Very easy examples professor. The problem that motivated me to watch this video has |q2'| = sqrt(3442)/7. Now deal with it and go for q3'. Arrrggghh

  • @omerabdalaziz608
    @omerabdalaziz608 10 лет назад +2

    Thanx Ana you are amazing at the last minute.

  • @willianspraciano
    @willianspraciano 7 лет назад +2

    Great, thank you for you have subtitled, because my English is not very good :)

  • @shashvatshukla
    @shashvatshukla 6 лет назад +1

    thank you MIT!

  • @Ninja7rock
    @Ninja7rock 10 лет назад +3

    U R DAMN GOOOOOOD!!! My linear algebra textbook describes it so complicated.

  • @WorkingSomeHow
    @WorkingSomeHow 12 лет назад

    its better to follow Prof.Strand notation which says x = A' b / A'A, and B = b - xA

  • @zzxxcv501
    @zzxxcv501 3 года назад

    just before the exam. accurate recommend

  • @abhay9994
    @abhay9994 Год назад

    thank you so much .

  • @Hoaithu100
    @Hoaithu100 3 года назад

    thanks

  • @Fr3ddeh
    @Fr3ddeh 8 лет назад +3

    An excellent explanation. Thank you!

  • @MEI003
    @MEI003 10 лет назад +4

    You just have saved my life!!!!... Thank you!!

  • @851128878542
    @851128878542 10 лет назад +1

    Very good video! Thank you for posting, this makes perfect sense now.

  • @Yehoogame
    @Yehoogame 10 лет назад +1

    Thanks so much for this ! It seems pretty easy now.

  • @1982rafaellima
    @1982rafaellima 10 лет назад +1

    Thank you! After you explanation, everything has became very to me! :)

  • @math260879
    @math260879 11 лет назад

    Very good.Not only the explanation but olso the Method are Excellent. :)

  •  10 лет назад +1

    Thank you.

  • @waynesoki1944
    @waynesoki1944 2 года назад

    That's much more better than what my teacher taught!

  • @rubaiyatmahmud3109
    @rubaiyatmahmud3109 4 года назад

    Thank you very much!!!! That was such a beautiful explanation

  • @michaeltapera4715
    @michaeltapera4715 8 лет назад

    this is 100...
    exellent explanation

  • @Michaelmaggimee
    @Michaelmaggimee 5 лет назад

    Thank you

  • @dn1742-v2j
    @dn1742-v2j 8 лет назад +2

    thank you! Bless you!

  • @pimpim8856
    @pimpim8856 8 лет назад +1

    Thank you for good lecture.

  • @sereneding4468
    @sereneding4468 3 года назад

    thannnnnnnk you so much!!!!!

  • @dr.mohamedaitnouh4501
    @dr.mohamedaitnouh4501 4 года назад

    do you know which speakers the instructor is using they are crisp clear like this lecture. thank you

  • @salihkaya467
    @salihkaya467 4 года назад

    thanks a lot!! from Turkey

  • @arjunmenonkandanat6328
    @arjunmenonkandanat6328 6 лет назад

    wonderful lecture .

  • @roshenw
    @roshenw 9 лет назад

    Thank you so much!!!

  • @shrutivashishth541
    @shrutivashishth541 3 года назад

    This was helpful. Thanks!

  • @watevaman18
    @watevaman18 10 лет назад +3

    Beast mode.

  • @oToBichiashvili
    @oToBichiashvili 11 лет назад +1

    great explaining. thanks

  • @AThomasKent
    @AThomasKent 7 лет назад +22

    "Which Is, Well,.. Very Lucky... ;-P"

  • @helmieyusoh6039
    @helmieyusoh6039 10 лет назад

    wow,this method is way better than mine.i got more easier and save more time by doing this method..tq damn much :)

  • @maithaap4565
    @maithaap4565 7 лет назад

    THANKYOU SO MUCH!!!

  • @magutier2004
    @magutier2004 11 лет назад +1

    Muy bueno, gracias

  • @davidgeorge5109
    @davidgeorge5109 5 лет назад +2

    She reminds of the baby sitter from the first incredibles movie. Still, great video!

  • @Naimadso
    @Naimadso 7 лет назад

    Great example.

  • @prominence1351
    @prominence1351 8 лет назад

    She has a great accent

  • @lafhalbazwi8851
    @lafhalbazwi8851 9 лет назад +1

    Excellent,

  • @KW-dg6fs
    @KW-dg6fs 7 лет назад

    Can you say if the original 3 columns are linearly independent, then they span R3. Therefore we can just pick the easiest orthonormals spanning R3? ([1 0 0; 0 1 0; 0 0 1]?

    • @KW-dg6fs
      @KW-dg6fs 7 лет назад

      A month later: since QR only works for square matrices (unless I remembered it wrong) and likely at university they will give you square matrices with linearly independent column vectors (otherwise we cannot perform QR decomposition), therefore Q will always be some sort of permutation matrix ?!

  • @lolmuze
    @lolmuze 11 лет назад

    excellent

  • @andrewp494
    @andrewp494 8 лет назад +1

    Please can you explain how did you find the lenghth is 1?

    • @fisicaematematicacomjean
      @fisicaematematicacomjean 5 лет назад

      Let's say you have a vector v. You know that you can multiply v with any scalar k that it doesnt change v's direction. So, what you can do to find the unit vector on the direction of v is just multiply v with 1 / his lenght.

  • @reywilli8892
    @reywilli8892 4 года назад

    Who’s watching this during the COVID lockdown?

  • @SWiSHRoyal
    @SWiSHRoyal 9 лет назад

    What do I do if my first vector is not (1,0,0) or (3,0,0) (where I just have to norm it) , but (1,0,1) and all the other vectors also don't just have one component? How do I get my first vector then?

    • @SilverArro
      @SilverArro 8 лет назад

      +SWiSHRoyal Just as with (1,0,0) and (3,0,0), you can simply normalize (1,0,1) and use it as your first vector. When you're looking for a orthogonal basis for a space, the first vector you choose is arbitrary (as long as it's in the space, of course), since you can always find another vector in the space to which it is orthogonal.

  • @krishnakeshav23
    @krishnakeshav23 Год назад

    why is length = 3 for q2? in @3:40

  • @ibenjamindian
    @ibenjamindian 12 лет назад

    what's her way of getting the projection?

  • @AlanMedina314
    @AlanMedina314 7 лет назад

    No likes the white line running across the board at 3:38.

  • @MrMasterStreet
    @MrMasterStreet 12 лет назад

    very good thanks :)

  • @meaw3409
    @meaw3409 Год назад

    0:51 NO!

  • @tighidetkamel2502
    @tighidetkamel2502 10 лет назад

    thnx

  • @radhwenhrizi87
    @radhwenhrizi87 11 лет назад +1

    merci

  • @alpayok9719
    @alpayok9719 7 лет назад +2

    it was excellent but I m Turkish too

  • @Souls-iq8to
    @Souls-iq8to 5 лет назад +3

    I crack up when she walks away just to walk back 😂 what's the point? Just continue the lecture

    • @pagetwnas1
      @pagetwnas1 5 лет назад

      Same man ahahaha

    • @rthelionheart
      @rthelionheart 4 года назад

      The video may be edited. God only knows whether she completed the video weeks after walking away.

  • @jinsilkim7117
    @jinsilkim7117 11 лет назад

    wow

  • @LordMgls
    @LordMgls 11 лет назад

    'bora Técnicoooooooooooo

  • @vilanelle100
    @vilanelle100 7 лет назад +1

    this is legit witchcraft

  • @Matematikcipanda
    @Matematikcipanda 7 лет назад

    u r a perfect teacher but I am Turkish

    • @Neme112
      @Neme112 7 лет назад +1

      So?

    • @Matematikcipanda
      @Matematikcipanda 7 лет назад

      Neme ?

    • @Neme112
      @Neme112 7 лет назад +1

      What do you mean "but" you're turkish? What's the problem with that?

    • @Zack-xz1ph
      @Zack-xz1ph 7 лет назад

      Neme I guess she wished the instruction was in turkish?

  • @anilphilip546
    @anilphilip546 3 месяца назад +1

    blurry video. couldn't MIT do any better?

    • @o__bean__o
      @o__bean__o 2 месяца назад

      Hey, 12 years old video. Keep in mind

    • @anilphilip546
      @anilphilip546 2 месяца назад +1

      @@o__bean__o 12 years ago is not 60 years ago. I have really sharp videos and movies that were made 60 years ago 😀

  • @anantsharma557
    @anantsharma557 8 лет назад

    im left handed too.. :D

  • @okanbayraktar350
    @okanbayraktar350 8 лет назад

    bayan sana helal olsun sonunda kafam bastı anasını satim

  • @vipinsamaria5503
    @vipinsamaria5503 6 лет назад +1

    m chutiya hu

  • @leeleslie6615
    @leeleslie6615 3 года назад

    if im good at english, i can better understand math from english book.

  • @walidzein1
    @walidzein1 7 лет назад

    Hi. i love u. bye

  • @KashifRabbaniYoutube
    @KashifRabbaniYoutube 5 лет назад

    Thank you

  • @inzamamtoha2075
    @inzamamtoha2075 8 лет назад

    thank you