2.7.4.3. Smooth vs non-smoothΒΆ

Draws a figure to explain smooth versus non smooth optimization.

  • ../../../_images/sphx_glr_plot_smooth_001.png
  • ../../../_images/sphx_glr_plot_smooth_002.png
import numpy as np
import pylab as pl
x = np.linspace(-1.5, 1.5, 101)
# A smooth function
pl.figure(1, figsize=(3, 2.5))
pl.clf()
pl.plot(x, np.sqrt(.2 + x**2), linewidth=2)
pl.text(-1, 0, '$f$', size=20)
pl.ylim(ymin=-.2)
pl.axis('off')
pl.tight_layout()
# A non-smooth function
pl.figure(2, figsize=(3, 2.5))
pl.clf()
pl.plot(x, np.abs(x), linewidth=2)
pl.text(-1, 0, '$f$', size=20)
pl.ylim(ymin=-.2)
pl.axis('off')
pl.tight_layout()
pl.show()

Total running time of the script: ( 0 minutes 0.118 seconds)

Gallery generated by Sphinx-Gallery