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Matrix vector products as linear transformations | Linear Algebra | Khan Academy 

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Matrix Vector Products as Linear Transformations
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Linear Algebra on Khan Academy: Have you ever wondered what the difference is between speed and velocity? Ever try to visualize in four dimensions or six or seven? Linear algebra describes things in two dimensions, but many of the concepts can be extended into three, four or more. Linear algebra implies two dimensional reasoning, however, the concepts covered in linear algebra provide the basis for multi-dimensional representations of mathematical reasoning. Matrices, vectors, vector spaces, transformations, eigenvectors/values all help us to visualize and understand multi dimensional concepts. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra.
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19 окт 2009

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Комментарии : 19   
@hichemhaddouche
@hichemhaddouche 9 лет назад
at 3:22 he became a pirate
@100yearoldpiano3
@100yearoldpiano3 5 лет назад
or our our or rawr arrg
@afnanjaved1986
@afnanjaved1986 5 лет назад
ahahahaah yeah xD !!
@ssims619
@ssims619 13 лет назад
thank you so much. I have been trying to figure out linearity all day. I've read the textbook and a bunch of online tutors but now I finally understand!
@ChunkOfNorris
@ChunkOfNorris 11 лет назад
I LOVE graphics cards. Great motivation for learning this, besides graduating and getting a job of course.
@abdullahyahya2471
@abdullahyahya2471 8 лет назад
thank you .... you are legends...
@s0m0c
@s0m0c 12 лет назад
Gracias!
@MobiusCoin
@MobiusCoin 12 лет назад
Man, in our 3D Computer Animation class... we were given a set of coordinates and we had to do the linear Transformation so that the 3D "object" projects onto the 2D viewplane by hand... that was a nightmarish exam. It turned out to be a bunny.
@haterallday
@haterallday 13 лет назад
applying linear algebra to real life application. what a baller
@RNeilen216
@RNeilen216 2 года назад
IMO, This is really confusing me. When I am working in 3d space, movement, rotation, and scale, deal with transformation matrices. So how does this video apply to 3d space. For example, what's the new position after an object has been rotated 30 degrees and then translated 5 units further along its forward vector.
@MeistroJB
@MeistroJB 7 лет назад
... I probably don't "run around and shoot at things." I would respectfully recommend that there are better things to do.
@anguswaterson6741
@anguswaterson6741 10 месяцев назад
@3:21 there is a pirate
@gbityunan
@gbityunan 14 лет назад
When you are talking about matrix being multiplied by a vector and matrix is on the left, shouldn't you be referring to "row vectors" of the matrix instead of "column vectors"? Am I confused?
@apoorvaverma7705
@apoorvaverma7705 5 лет назад
The matrix looks like a row vector but the elements in it (v1.........vn) are column vectors themselves which contain m elements.
@davidmurphy563
@davidmurphy563 3 года назад
Well, scaling is trivial. It's just identity times a scalar. But what about rotation and sheering? Or, more to the point, what about if you wanted to project an R3 vector into an R2 either orthographically or with a perspective component? How do we arrive at useful matrices without it becoming undefined?
@pavichokche
@pavichokche 13 лет назад
you kids and your fancy xboxes and shooting games *shakes cane in diapproval* xD
@MeistroJB
@MeistroJB 7 лет назад
can't tell if you're serious.... but respectfully suggest even better things to do, if you can handle it.
@patrickmoloney672
@patrickmoloney672 8 лет назад
Is there anything Khan doesn't know? :)
@mustafasiddiqui8203
@mustafasiddiqui8203 4 года назад
What is life. He don't know
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