This repo is a fork of differential-line: http://github.com/inconvergent/differential-line.

It is written specifically to be used at the Vilje supercomputer at NTNU HPC. Unless you want to use the MPI functionality you should probably use the original repo.

This algorithm is inspired by the way a number of biological things in nature grows. Among other things it is made to mimic the growth of the human brain, as well as a great number of plants.

In brief; we start of with a number of connected nodes in a circle. Gradually we introduce new nodes on the line—prioritizing segments where the curve bends more sharply. Over time the curve grows increasingly intricate, but it never self-intersects.

In order for this code to run you must first download and install:

• zonemap: https://github.com/inconvergent/zonemap

You also need

• dddUtils: https://github.com/inconvergent/ddd-utils

The following repo is used to render the resulting vectors in render_exported.py

• render: http://github.com/inconvergent/render (Requires python-cairo)

The code also depends on:

• numpy
• cython
• mpi4py==1.3.1

If you find this alorithm insteresting you might also want to check out: https://github.com/inconvergent/differential-mesh.

http://inconvergent.net