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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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remix of d/15454 by u/katkip

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  • tomxor: Variable initialisation with only +2 chars (hack)

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  • rodrigo.siqueira: 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
  • 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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remix of d/15467 by u/django

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  • 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)
  • 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)
  • Benjiji: Nice, thx!

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