Arnold Yim

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@Olivia-tl1le 8 күн бұрын

i have an exam tomorrow - thank you sir!!

@broke1677 19 күн бұрын

Thank you I understood it so quickly!

@gichuki30 28 күн бұрын

Here in 2024 I think we should have 3 eigen values

@just4simplegg428 29 күн бұрын

Just from 1m I understood from your video something my class in Analytical Mechanics could not explain !! thanks

@hellothere-cx8dz Ай бұрын

Is there another similar method to help do this, but where elements of the matrix and basis vectors are under a finite field Fq? I am trying to learn the Berlekamp algorithm, but I am a bit behind in my linear algebra 😅😅

@chatchaimize2571 2 ай бұрын

MTH167 for free?

@jarlenewestney2542 2 ай бұрын

THIS SERIES WAS SO HELPFUL TYSM!!

@lonewolfgaming5245 2 ай бұрын

Thanks!

@JK-gq2so 3 ай бұрын

Very helpful,thank you! Do you have trig videos?

@HeavenlyGodlyAngelic 4 ай бұрын

Thank you

@latehate1017 5 ай бұрын

thank you for this tutorial! although most modern/advanced calculators accept logarithms with varying bases, it's still fundamental to remember that these formulas exist for when either we need to simplify equations or calculate logarithms using standard calculators.

@DipsAndPushups 5 ай бұрын

Very nice

@JK-gq2so 5 ай бұрын

Very helpful, thanks so much! Could you please upload trig notes?

@aylinespino 6 ай бұрын

how come in one example the unit vector is found by dividing by the magnitude while in the other example the unit vector is found by dividing by the sum of the matrix entries?

@simonezito5838 6 ай бұрын

super clean explanation!

@Yusuf-kq3ku 6 ай бұрын

we want more videos

@Juliet-mc5sj 6 ай бұрын

very helpful thanks

@viktorkhan8518 6 ай бұрын

Great video!

@tengkupashakevinhusnadi4050 6 ай бұрын

Why my lecture thaught me this different like Ui is eigen vector divided by norm eigen vector. (Sorry my english kinda bad)

@muchaczarna8891 2 ай бұрын

noob

@BoZhaoengineering 7 ай бұрын

A nice precalculus course. But It would be nice when you talking parallel lines and perpendicular lines , it is nice give a visual proof of slopes relationships from geometry.

@Aleksantari 7 ай бұрын

Thank you for the in-depth explanation!

@jamespashley8646 7 ай бұрын

just one question: what if you have a linear combination where two vectors both have scalars, e.g. 2v2 = 3v1, would it still count as a linear combination?

@shIong 8 ай бұрын

nice

@LukeHornabrook 8 ай бұрын

This and the following video are brilliant, thank you for taking the time to make them! It is much appreciated.

@MegalaSrinivasan 8 ай бұрын

Thank you so much

@musaddiqbhutto7592 9 ай бұрын

what would happen if the constraint in first example was 2?

@jamesbakis6330 10 ай бұрын

great video

@keerthymahesh1382 10 ай бұрын

Sir how is root 5 is obtained

@JacobLuHK 9 ай бұрын

length

@richardpatove4587 11 ай бұрын

thanks

@DDT-f8s 11 ай бұрын

U need to convert this to an udemy course... It's so good

@Cuestiona 11 ай бұрын

great video thanksss

@RandomGuy-sf7pg Жыл бұрын

❤

@matthewhernandez9152 Жыл бұрын

Extremely clear. Coming from FSA, this is quite intuitive.

@hey-its-TugbaOzturk Жыл бұрын

your videos are life-saving!

@michaelklikushin6045 Жыл бұрын

This dude is the goat

@francislekula5590 Жыл бұрын

Awesome 💯

@Andalfulfulde Жыл бұрын

Glad to know this channel❤❤❤❤. Please what if the quadratic form had constant term such as 10. Hiw do we include that into the matrix?

@silviasaayian6693 Жыл бұрын

Well explained sir

@Cornyyylieus Жыл бұрын

legend

@fila- Жыл бұрын

i don't know why you stopped making video , but if now you are healthy and alive , i think you should come back , you are just awesome <3

@hafizasultana8727 Жыл бұрын

Awesome video.

@hafizasultana8727 Жыл бұрын

That is an awesome video. Thank you so much. Very very helpful

@Bokkie312 Жыл бұрын

god i hate linear algebra

@DipsAndPushups 5 ай бұрын

Trust me, put in the effort and linear algebra is so cool. I have just seen the proof why you can always diagonalize symmetric Matrix A with A = PDP(transpose) and the proof is cool. It is worth the effort when all comes together and also it is nice to be able to use linear algebra to solve problems and understand why it works because linear algebra is powerful. Let it grow on you, you will end up liking it