In a paper, Tupper
presents a method for graphing two-dimensional implicit equations and
inequalities. This package gives an
implementation of the paper's basic algorithms to allow
Julia user to naturally represent and easily render graphs of
implicit functions and equations.
We give one example, others may be viewed as an
IJulia notebook (here).
The Devils curve is graphed over the default region as follows:
using Plots pyplot() using ImplicitEquations a,b = -1,2 f(x,y) = y^4 - x^4 + a*y^2 + b*x^2 plot(f ⩵ 0) # \Equal[tab]
about 1 month ago