algorithmic modeling for Rhino
During form-finding of funicular networks, dynamic weights that update per time-step relative to a local measure are interesting... not least because such systems often converge when intuition says they should explode.
For the case of a tensile spring network in 3 dimensions, the equilibrium result is funicular so long as the network is at most…Continue
Introducing a new component that generates a Self-Organising Map from high dimensional input data.
A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretised representation of the input…Continue
We work with such high level programming languages (such as C# or even Grasshopper itself) that we forget that underneath all that are ones and zeros being summed and all kinds of other things using tiny transistors and exotic materials to compute your Voronoi diagram or my personal favourite - the clean tree component (because the main input is at the bottom…Continue
Introducing a simple component that repels points on a surface or mesh with a radius cut off that can be entered as a list. I think Kangaroo can do this but what the heck it was written years ago and worth releasing in case anyone finds it useful.
This is a UserObject that generates a 'kind of' Voronoi diagram with right angles.
Drop it into your UserObjects folder (File> Special Folders> UserObjects...) and it should appear alongside the standard Voronoi component once you restart Grasshopper.…Continue