I think of it there exists problems cannot be solved, rather than computers can't solve all problems. Computers can solve all problems that can be solved.
@chaumas4 күн бұрын
We’re pretty sure, at least. What you’re stating is called the Church-Turing thesis, and it’s generally assumed to be true, but unproven.
@gotobawa4 күн бұрын
3B(next video) plz
@teknolozik4 күн бұрын
...and now we have a list with just two numbers, yet each number has millions of digits. Bubblesort wins LOL
@AliAboulSauood5 күн бұрын
AMAZING! :-)
@UnlockMind906 күн бұрын
Wow amazing, great video...
@thatoneflaregun31676 күн бұрын
Do cocktail shaker sort
@Guynamed1997 күн бұрын
bogosort can be the least efficient and most efficient sorting algorithm in the world
@smaybius8 күн бұрын
When visualized in 1D, MSD radix easily looks like a quicksort, as both follow a divide and conquer order of operations
@beaverbuoy30119 күн бұрын
Yay
@robschannel115611 күн бұрын
Not what I had in mind when I searched for “merge sort vs quick sort” but still helpful.
@Marti-do2vv11 күн бұрын
Amazing video!! Can't wait for the next one :)
@AlexandraSkrzypinski11 күн бұрын
Thanks for the breakdown! A bit off-topic, but I wanted to ask: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?
@akshayaralikatti617111 күн бұрын
Incredibly simplified
@rupayan969012 күн бұрын
Your channel is a gem
@HofCon14 күн бұрын
A great visualization of radix sort, but it's not the same without the screams of the damned accompanying it.
@leopardtiger102214 күн бұрын
What are the applications of tensors?
@Snowfats15 күн бұрын
excellent, thanks!
@MainIsHerelol15 күн бұрын
poor sleep sort...
@wjaspers16 күн бұрын
since when does light follow its moving source?
@Ruhgtfo16 күн бұрын
What the the element material use to be a single qubits for quantum computing?
@rishabhvish20718 күн бұрын
Now wait for another year for the next part
@samkelo_m_18 күн бұрын
"Women are always right" Okay let them solve the halting problem.
@AtmosMr18 күн бұрын
I didn't realise Ned Flanders narrated youTube videos
@UndercoverDog18 күн бұрын
O(n logn)?
@persom-o4h18 күн бұрын
Wow this channel is finally active.
@stjernis18 күн бұрын
Nice explanation of entangled states. Thanks!
@ramr705118 күн бұрын
you guys are amazing. Keep it up. Not even universities put this much effort into their material. Beautiful
@aieousavren19 күн бұрын
Truly excellent!!! Great work, I truly appreciate the aid in distinguishing between direct product and tensor product of vector spaces! I am always delighted by your animations in general, but I truly appreciate just how much insight this series brings. Looking forward to more! ❤
@TerragonCFD19 күн бұрын
very good explanation :) thank you!
@nxthingbutv0id95820 күн бұрын
Peak
@mastershooter6420 күн бұрын
It's been 84 years...
@이기민-l8q20 күн бұрын
That's interesting. A contradiction arises because of the 'overly strong' definition of H, which says that H can solve all halting problems. I don't understand why people hate Negator. The problem is not with the existence of Negator, but with the overly strong definition of H. H, because of its strong definition, should be able to solve the halting problem even for machines like X, and that just creates a contradiction.
@rayzhang342520 күн бұрын
Omg what timing
@oldstory67820 күн бұрын
Very clear and simple explenation, specialy for entangelmen. Nobody explaind it with math, but now taht you did it very clear and not confusing as people try to make it seem.
@hebusletroll41520 күн бұрын
ok i might need to rewatch this but it's good stuff thank you!
@Nosikas20 күн бұрын
I literally had an abstract lin alg exam today! I love how everything comes together :)
@DevRajyaguru-lx8pi20 күн бұрын
Love this series. Great content and really helpful in my studies. May I ask what dou you use for animation?
@udiprod20 күн бұрын
Thanks :) I'm using Maya.
@felipegomabrockmann274020 күн бұрын
really really great video
@giriesh32920 күн бұрын
notes?
@udiprod20 күн бұрын
added.
@giriesh32920 күн бұрын
@@udiprod thanks
@mowg-ly-828620 күн бұрын
the vidéo of year finally here
@JonathanZigler20 күн бұрын
We out here entangling qubits.
@omatousou20 күн бұрын
I have an exam on this Monday ✨✨
@paumb6420 күн бұрын
lol same
@lincolt20 күн бұрын
Damn, this is good
@linuxp0020 күн бұрын
The tensor product has starking similarities with the geometric product, but instead of a welding it's a wedging (exterior) plus an inner product. That way, an entangled systems is a diagonal system, a matrix of projections of states, or in tensor lingo, a symmetric rank-2 tensor. The off-diagonal components are the anti-symmetric components of that tensor, or the parallelograms made by extruding one vector in the direction of the other and vice-versa, giving two congruent parallelograms, but w/ opposite perimetral circulation. In 3D, we have 3 basis vectors, whose produces 3 scalar projections and 3 parallelogram areas, each of these with 2 versions. Giving off a total of 9 components for the tensor's matrix. *In quantum gates, it's easier to convince yourself, bc instead of row/column-like descriptions of vectors, their basis is composed of the Pauli matrices and the components of the tensor calculated by AB = A•B+iA×B.
@SilentderLaute20 күн бұрын
Great Animations cant wait for next Video :3
@j11m11a1120 күн бұрын
new Tempt6 video, new udiprod video - LETS GOOOOOO