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Lambda Calculus: The foundation of functional programming, and the simplest programming language 

Tony Zhang
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Lambda "Calculus" is a extremely concise way to represent logic and computing - just like a Turing machine. Instead of a Turing machine's mechanical and step by step way of computing, lambda calculus looks much more similar to regular math and "computes" by substituting and simplifying.
Timestamps:
00:00 intro
00:36 logical explanation
02:20 formal explanation
06:47 currying
08:47 church encoding for numbers
12:02 recursion
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My website: tonyzhang.net
My Github: github.com/Tony1324
Contact me: hello@tonyzhang.net

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31 июл 2024

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Комментарии : 36   
@RoseS-mf8ye
@RoseS-mf8ye 3 месяца назад
This is the best lambda calculus video I've watched of all. Thank you!
@herbiejames5637
@herbiejames5637 Год назад
Obviously understanding the value of lambda calculus is in exploring how robust it is on an abstract level, but it would be great to see this in an applied context as well! Thank you for your content!
@giuliopimenoff
@giuliopimenoff Год назад
Thank you so much, this was such a great explanation
@primenumberbuster404
@primenumberbuster404 Год назад
Haskell is goated
@101nka
@101nka 5 месяцев назад
Great video! well explained
@miketurn5
@miketurn5 9 месяцев назад
Extremely interesting way of computing already curious to learn more about catergory theory!
@nilcipher1351
@nilcipher1351 5 месяцев назад
I finally understand the y-combinator now.
@jonathandyment1444
@jonathandyment1444 21 день назад
Yesterday I heard of Lambda Calculus for the first time. It is something that is right up my street and I look forward to understanding it soon. However, for now, I am encountering barrage after barrage of geeky drivel from one geek back to himself and his fellow geeks who are entertaining one another with the notion that they have explained this thing clearly and adequately.
@matematicke_morce
@matematicke_morce Год назад
Great video, by far the best explanation I've seen on the topic! My only critique is that the animations were a bit too fast, especially in the part about basic arithmetic operations
@blueoxygenurawr404
@blueoxygenurawr404 Месяц назад
ikrr speedy gonazalez
@anakimluke
@anakimluke Год назад
thanks for the video! I find the topic so interesting!
@anakimluke
@anakimluke Год назад
ps. your next video is on category theory!!?? even more interested now!!
@monsterhunter8595
@monsterhunter8595 6 месяцев назад
Very good video!
@ivandrofly
@ivandrofly 10 месяцев назад
Good one thanks
@irok1
@irok1 Год назад
Multiplication without recursion was crazy to see. Really showcases the possibilities of lambda calculus. Great video, any chance you could increase your volume slightly?
@plablo_plablo
@plablo_plablo Месяц назад
Can you enumerate each of the lambda calculus functions in order of the number of bits of information that it takes to represent their function?
@joejeffrey1436
@joejeffrey1436 3 месяца назад
Instead of using church encodings a great alternative is PCF xx
@chakkawatsonaruea5088
@chakkawatsonaruea5088 Год назад
Great video. I wished you putting a little more emphasis on, explicit putting parentheses on lambda abstraction vs no explicit parentheses. For example: Lambda x.x y Is different then: (Lambda x.x) y Sorry if bad English.
@TonyZhang01
@TonyZhang01 Год назад
Definitely. I hoped that the use of parentheses was pretty clear based on the examples and what I wrote, and also because it is used the same way as they are normally used, so if I focused on talking about it it might seem more confusing than it actually is
@beantown_billy2405
@beantown_billy2405 8 месяцев назад
3:05 does the function return itself (i.e. return a function), or the value it received?
@raphaeld9270
@raphaeld9270 5 месяцев назад
It is an error in the video it seems : `f(x) =x ` is the Identity function and just returns the input value as its output. 12:26 is closer to a function that "returns itself".
@LambdaJack
@LambdaJack 2 месяца назад
Which function!? A composition specialized to it's recursive specialization is it's recursive specialization. A better name than Y could be "recursive", as in "(recursive compositio)". "id" as composition does not _specify_ at all what should be done, so it could be anything. As a Degenerate Case a Composition can take the Self-Reference and do nothing with it.
@beantown_billy2405
@beantown_billy2405 2 месяца назад
@@LambdaJack The function at 3:05, f(x)=x
@tsunningwah3471
@tsunningwah3471 4 месяца назад
有沒有中文的
@paulomarcos.5585
@paulomarcos.5585 2 месяца назад
λ Beautiful λ
@jacobcohen76
@jacobcohen76 Год назад
First!
@incognitohacks4850
@incognitohacks4850 Год назад
Ackshually
@alonelyphoenix8942
@alonelyphoenix8942 Год назад
Why
@basilalharbi3293
@basilalharbi3293 Год назад
Second
@tsunningwah3471
@tsunningwah3471 4 месяца назад
chinz
@kahnfatman
@kahnfatman 21 день назад
I am happy that the Romans did not invent lambda Calculus -- otherwise buildings worldwide must bear the mark of Church Encoding f(f(f(f(f(f(f(f(f(f(fx))))))))))))
@user-je7dq7uc9m
@user-je7dq7uc9m 5 месяцев назад
The quality of information Is exelent but the way how It Is explained Is really low level. Really Fast to have time to be understand. Sonetimes It looks that It Is an automatic voice that speak. I really Belive that this video Is superwow for the content but It Is terribly hard to really understand the content.
@MarkVolkmann
@MarkVolkmann 2 месяца назад
You say that the full definition of the add function is 🐑fxmn. (m f) (n f x). Sorry, I haven’t found a way to input the lambda character on an iPad, so I used the lamb emoji. How can I walk through the steps to apply that function? Is it like this? 🐑fxmn. (m f) (n f x) f x 2 3 (2 f) (3 f x) What do I do from here?
@MarkVolkmann
@MarkVolkmann 2 месяца назад
I think I found an answer. (λfxmn. (m f) (n f x)) 2 3 -- Substitute 2 for m and 3 for n. λfx. (2 f) (3 f x) -- Substiture the λ terms for 2 and 3. λfx. (λfx.f (f x) f) (λfx.f (f (f x)) f x) -- Apply the arguments f and x in the last term. λfx. (λfx.f (f x) f) (f (f (f x))) -- Apply the argument f in the last term. λfx. (λx.f (f x)) (f (f (f x))) -- Apply the argument `(f (f (f x)))` to the function on its left. λfx. f (f (f (f (f x)))) -- This is the definition of the number 5.
@MarkVolkmann
@MarkVolkmann 2 месяца назад
I haven’t been able to work out a similar set of steps to demonstrate multiplication though. I could use help with that.
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