Contour is now working correctly for an arbitrary number of points.

Examples below are for a 100 points in 10-D. o

fsphere in 10-D

btained with:

./test_functions -fname fsphere -dim 10 -contour 0,1 -contour_p 100

that yields

[[-0.324902,-1.01401e-08],[-0.315921,-0.0132615],[-0.314858,-0.0292426],[-0.313066,-0.0446029],[-0.310504,-0.0598537],[-0.307223,-0.0749257],[-0.303197,-0.0898161],[-0.298457,-0.104512],....

and plotted with matplolib:

import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

a=[[-0.324902,-1.01401e-08],[-0.315921,-0.0132615],[-0.314858,-0.0292426],[-0.313066,-0.0446029],[-0.310504,-0.0598537],[-0.307223,-0.0749257],[-0.303197,-0.0898161],[-0.298457,-0.104512],...

plt.plot(*zip(*a),marker='o',ls='')
plt.show()

ellirot in 10-D

obtained with

./test_functions -fname ellirot -dim 10 -contour 0,1 -contour_p 100

rosenbrock in 10-D

obtained with

./test_functions -fname rosenbrock -dim 10 -contour 0,1 -contour_p 100 -contour_fup 90 -sigma0 0.1

Implement the finding of points lying on a contour of a given function value (aka CONTOUR) #31

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