Відео

Wow interesting lecture

Can't wait to be the coolest kid in the class when I teach my friends this 😎. Great Video!

did i just learn this in my last year of college ? OMG my method was way harderrrrrrr

Dr peyan i canr find the link of methods to find the convinient change of variable via diagonalization can you give it to me please?

That's so obvious but at the same time I never would have found that on my own...

Incredible. Thank you so much for this trick!

Please I don't understand how ln(-1) is equal to 0 ? Shouldn't it be a complex value ?!!

but what is in the first problem x is squared?

Min tişkî fêm nekir😪

😏

Great video man

thank you sir, keep going

This guy's passion scares me... also gives me smiles when im struggling with calculas :D

Doesn't work most of the time.

broooooooh u r the real gigachad

Sir, please share your nomber to me

Great Examples

you are underated

What?

🤝🙌👍👏

Is there any video that explains these concepts and why row reduction works geometrically ?

5:00 pls link the video someone

what a wonderful video, it is very helpful for me thanks a lot

i thought its anti derivative wuld be -1/2x * cos(x^2)

Can we solve it without trig trick? خيلي زيابست

I remember discovering it myself when I was trying to sum reciprocals, and noticed the graph looked a lot like ln x, so I let my calculator run all night working out the difference that was about 0.577.

Can you mention the book you found this trick from? Btw really amazing video!!

Why isnt this taught to all students in calc I? I never knew this!

Niceeeeee

I love you sir; God bless you forever

Proof accepted. :)

Nice :-) Wondered if the log gave the infinitesimal generator of all rotations and an small experiment in Maple confirms. m is your matrix logarithm, then with(LinearAlgebra):MatrixExponential(phi*m) gives a generic rotation. For phi=1 your starting point half pi rotation (90º) is recovered and for phi=4 would be 2pi radians rotation. Satisfying!

Dr. Peyam, I miss you!! How are you doing? :) (If you even see this)

but since we used ln here, doesn't this exclude y values that are <=0 ?

THANKS,., THAT IS THE SOLUTION I WANT TO FIND...

Thank u smart

beyond fantastic

Why is all the math I struggle with so simple when I find the teacher that can explain in my way? I will try to get up to Calculus by the end of 11th grade as i have never gotten to enter Middle school or High school due to payment issues and for my family having trouble with work thank you sir 🙏

Thank you very much for this. I was struggling with a similar problem for hours. I'm still trying to grasp it so I have a question: Would I be correct if I said that the matrix can be recovered unambiguously because: - The column vectors of A corresponding the pivot columns of A' form the basis of a column space of A - Thus, the other column vectors can be written as the linear combination of the basis vectors in EXACTLY one way.

Amazing

Perfect & clear explanation (way better than my textbook/professor)! Your video was very helpful in studying for my final tomorrow. Thank you!

I have a question. How we can indetify functoons that doesnt have a antiderivative?

What about not a ball but a sphere? Is that open?

Thanks sir

But i use this method all the time

0:22 doc dropped fire beat tho

I finally found a video that makes it more clear....Thanks man

Great Video as always. Isn't there a problem defining the metric on X like this, because X is not a vector space, hence not a Banach space. Or maybe I'am misunderstanding something.

Great Video as always. Isn't there a problem defining the metric on X like this, because X is not a vector space, hence not a Banach space. Or maybe I'am misunderstanding something.