Determinant as scaling factor | Matrix transformations | Linear Algebra | Khan Academy

[@guilhermegondin151]

Doing it just for the boundary turns it more simple to explain without lost in generality, good approach.

[@debendragurung3033]

18:57; very neat result

[@nikenasihbinatari4552]

this is what i am looking for. thx a lot.

[@oneinabillion654]

He talked about 3D programming using matrix. I really want to know more about it

[@MismeretMonk]

Nice! I've got it now :)

[@supershaye]

This is directly related to the Jacobian.

[@1mol831]

Jacobian coordinates proofs have been killing me for the past month because it has to be used in a project. As a middle school student, it had been troubling to recognize how I should differentiate a column vector by using the laplacian operator.

[@1mol831]

Can you give help?

[@oneinabillion654]

@@1mol831 I started linear algebra and multivariable calculus playlist 2 weeks ago. I'm stopped halfway at jacobian in multivariable calculus and came to gain some prerequisite knowledge in linear algebra. I'm almost done with it. I'll look into it.

[@lhyx1990]

omg, isn't it magic? can i apply it to the volume of 3D or nD?

[@saliheenafridi9116]

yes

[@davidbarker5411]

This is why I hate Khan academy. 20 minutes without using a single actual value, so freaking dumb.