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u(t) is called 60 times per second. t: Elapsed time in seconds. S: Shorthand for Math.sin. C: Shorthand for Math.cos. T: Shorthand for Math.tan. R: Function that generates rgba-strings, usage ex.: R(255, 255, 255, 0.5) c: A 1920x1080 canvas. x: A 2D context for that canvas.
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  • what is the deal with that init dweets? 15B

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  • Gradient Descent (iterative) algorithm used to calculate sqrt(2). The big dots are the two roots -sqrt(2) and +sqrt(2) of equation Y=X**3-X*2. The Gradient Descent is an optimization algorithm for finding a local minimum of a function near a starting point, taking successive steps in the direction of the negative of the gradient. x[n+1]=x[n]−η(∇f)xn where η is the "Learning Rate". Gradient Descent is widely used for training Machine Learning models. #neural #ai
  • u/rodrigo.siqueira
    Simple version that calculates sqrt(2). If you change initial "x" to -1, it will converge to -sqrt(2), that is the other root of the equation Y=X**3-X*2. Code: x = 1; learning_rate = .1; for(i=0;i<50;i++) { x = x - learning_rate * (x**3 - 2*x) } throw(x);

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  • u/13thptr
    123 : N=999*S(t/10) for(c.width^=i=0;i<N;)Z=2*i/N-1,Y=S(i/5)*Z*.3,X=C(i++/5)*Z+Y*.76,Y=Z+Y*.64,x.fillRect(X*300+960,-Y*300+540,15,5)
  • u/13thptr
    *126: N=999*S(t/10);for(c.width^=i=0;i<N;)Z=2*i/N-1,Y=S(i/5)*Z*.3,X=C(i++/5)*Z+Y*.76,Y=Z+Y*.64,x.fillRect(X*300+960,-Y*300+540,15,5)
  • u/Benjiji
    Nice, thx!
  • u/atgz
    you can also use .7 instead of 0.7, might come in handy next time

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  • particles~
  • u/aleamb
    nice!
  • u/robbyg
    A 105b version: c.width^=0 t||(v=[]) v.push([960,1e3,C(t*9)*9,10]) v.map(p=>x.fillRect(p[0]+=p[2],p[1]-=(p[3]-=.06),9,9))

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remix of d/10165 by u/Purpzie

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  • when someone says not to swear

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  • Dweet of The Tentacle

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