Computer Cooking General

What are you cooking on your computer lads?

Straight out of the oven my friends. Can you smell the succulent aroma? Nice little baby mosquitoes branching off around the edges of the big blob.

Tried to modify the algorithm for more detail made some trippy thing.

i can find mandelbrot set porn all over youtube

Is that the Mandelbrot set?

a novel

I used to make plots like these in fortran when I was an undergrad. It's like waiting for a cake to bake. I miss waiting for projects to finish running, but mathematica is so efficient for everything I need it for.

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show bobs plz.

Get out of here Wolfram

I made a mandelbrot set in GeoGebra.

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anyone else creeped out by the mandelbrot set?

its like the dirty blood sucking tick of the mathematical universe. some sneaky little fuck that shows up everywhere and is impossible to get rid of. I swear when i close my eyes and rub them I can see that little cunt through the static, somehow embedded in the recursive nature of my consciousness.

I believe it to be demonic in nature.

I did this in Turing in high school bitches
and Turing sucks ass

This took ages to generate btw. I think it took 50min.

Making a 3D visualization of the Riemann [math]\zeta[/math] function using C++, SDL and OpenGL, parallelizing computations with OpenMP (might use OpenCL eventually). I don't have a functional camera yet, but some cool-ass renders of [math]\arg\,\zeta\left(s\right)[/math]

FIGURE 1 -- computing [math]\zeta\left(s\right)[/math] as [math]\sum_{n\ =\ 0}^{2,000} \frac1{n^s}[/math] (about 1 minute, series doesn't converge for [math]\mathfrak R\left(s\right)\ \leqslant\ 1[/math] hence the chaotic behavior)

Fucking gookmoot and his gay system for cutting [math]\rm\LaTeX[/math] formulas!

FIGURE 2 -- computing [math]\zeta\left(s\right)[/math] as [math]1 \,+\, \frac1{s\,-\,1}[/math], given that [math]\zeta\left(s\right)\ \sim\ 1 \,+\, \frac1{s\,-\,1}[/math] at 0 and [math]+\infty[/math] (instantaneous, approximation is very good near the positive real line but very bad elsewhere)

FIGURE 3 -- computing [math]\zeta\left(s\right)[/math] as [math]\frac1{1\,-\,2^{1\,-\,s}} \,\sum_{i\ =\ 0}^{2,000} \frac{\left(-1\right)^{n \,+\, 1}}{n^s}[/math] (about 3 minutes, the series doesn't converge for [math]\mathfrak R\left(s\right)\ \leqslant\ 0[/math] hence the chaotic behavior)

FIGURE 4 -- extending the previous formula with the reflection formula [math]\zeta\left(s\right)\ =\ 2^s\, \pi^{s\,-\,1}\, \sin\frac{\pi\,s}2\, \Gamma\left(1\,-\,s\right)\, \zeta\left(1\,-\,s\right)[/math] with [math]\Gamma[/math] computed with Lanczos' approximation (about 3 minutes, the series converges too slowly for [math]\mathfrak R\left(s\right)\ \approx\ 0[/math] hence the chaotic behavior)

FIGURE 5 -- computing [math]\zeta\left(s\right)[/math] as [math]\frac1{1\,-\,2^{1\,-\,s}}\, \left( \sum_{k\ =\ 1}^n \frac{\left(-1\right)^{k \,+\, 1}}{k^s} \,+\, \frac1{2^n}\, \sum_{k\ =\ n\,+\,1}^{2\,n} \frac{\left(-1\right)^{k\,+\,1}\, \sum_{i\ =\ k\,-\,n}^n {n \choose i}}{k^s} \right)[/math] with [math]n[/math] being chosen as the smallest value that guarantees the error term to be small enough (about 2 seconds, that rainbow gives me a boner no homo)

I was thinking of doing passive image curation using an eeg and neural networks for the image generation

I'm not cooking up much other than laser beam crawling spiders, but, I would like to take a moment to commend both all of you in this thread and this thread itself. Good day.

I haven't done anything on the computer but I used the light from my LCD to play around with polarized light.

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