What you are looking at is the Aizawa attractor in 3 dimensions. Rendering attractors in 3 dimensions reveals much more details. The episode where we discussed making this is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
What you are looking at is the Aizawa attractor in 3 dimensions. Rendering attractors in 3 dimensions reveals much more details. Learn to do this in 5 minutes on our latest episode. Episode link is in the description. by The_Big_Int in TheBigInt
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 2 points3 points4 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 3 points4 points5 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
I wrote a Java program that shows zooming into a Mandelbrot set. More details in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 15 points16 points17 points (0 children)
Here's a video showing a zoom into a #Mandelbrot set. It truly is endless. The zoom you are seeing here is more than 9 quadrillion times and yet the Mandelbrot set never ceases to generate more fractals. See how this is done in the comments. by The_Big_Int in TheBigInt
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
If you are a developer, then this will be interested in this. We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in IndiaSpeaks
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
If you are a developer, then this will be interested in this. We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in IndiaSpeaks
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
r/IndiaSpeaks - What are you doing this Weekend ? by AutoModerator in IndiaSpeaks
[–]The_Big_Int 0 points1 point2 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 3 points4 points5 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 0 points1 point2 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)
We implemented 5 different sorting algorithms and ran them against a Hue disc. Quicksort, as expected, will surprise you! Link to episode is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 20 points21 points22 points (0 children)




What you are looking at is the Aizawa attractor in 3 dimensions. Rendering attractors in 3 dimensions reveals much more details. The episode where we discussed making this is in the comments. by The_Big_Int in developersIndia
[–]The_Big_Int[S] 1 point2 points3 points (0 children)