Previous article: Arbitrary branchings In the previous parts of this series we introduced the idea of genetic fractals, based on a simple formulation, aka the genetic equation. This equation is controlled by driver functions. Initially we started out with a driver function Advertisements
Previous article: Accessory functions Next article: Going for 3D In the first 3 posts on this subject, we implemented the creation equation, added branching and dressed the resulting L-system fractals with color and width. Lovely. These fractals all have binary branchings, i.e. whenever a branch splits,
Previous article: Plotting fractals Next article: Arbitrary branchings In the previous post we created the Ruby code to implement the Genetic Equation and generated a few fractals like the one below.
Previous article: Implementing the Genetic Equation Next article: Accessory functions In the last post on 2D genetic fractals, we introduced the Genetic Equation without branches and saw that using the driver functions we generate any path that we want. The Excel example was useful for messing around with the driver functions. But for branches, in particular…
Next article: plotting fractals Having plastered pretty pictures all over the internet and even having a genetic fractal in an art gallery (yes…!), the time must have come to out genetic fractals beyond sharing beautiful maths equations. So here it is, a series on constructing genetic fractals in 2 dimensions. “Why only two?”