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Temporal Vectorization

Temporal Vectorization

This lesson explains temporal vectorization with an interesting case study called "Mandelbrot set".

We'll cover the following...

Temporal vectorization is where elements share the same computation but necessitate a different number of iterations.

Problem Description

The Mandelbrot set is the set of complex numbers cc for which the function fc(z)=z2+cf_c(z) = z^2+ c does not diverge when iterated from z=0z=0, i.e., for which the sequence $f_c(0), f_c(f_c(0)) $, etc., remains bounded in an absolute value. It is very easy to compute, but it can take a very long time because you need to ensure a given number does not diverge. This is generally done by iterating the computation up to a maximum number of iterations, after which, if the number is still within some bounds, it is considered non-divergent.

Of course, the more iterations you do, the more precision you get.

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