text: 
  # coding: utf-8
  
  # ### DEMSLV10
  
  # # Illustrates linear complementarity problem
  
  # In[1]:
  
  
  import numpy as np
  import matplotlib.pyplot as plt
  
  
  from compecon.demos import demo
  
  plt.style.use('seaborn')
  
  
  # In[2]:
  
  
  def basicsubplot(i, title, yvals,solution):
      ax = demo.subplot(1,3,i,title,'','',[-0.05,1.05],[-2,2])
      ax.plot([0,1],[0,0],'k-',linewidth=1.5)
      ax.plot([0,0],[-2,2],'k:',linewidth=2.5)
      ax.plot([1,1],[-2,2],'k:',linewidth=2.5)
      ax.plot([0, 1],yvals)
      demo.bullet(solution[0], solution[1],'r.',18)
      plt.xticks([0,1],['a','b'])
      plt.yticks([-2,0,2],['','0',''])
  
  
  # ## Possible Solutions to Complementarity Problem, $f$ Strictly Decreasing
  
  # In[3]:
  
  
  figs = []
  
  
  # In[4]:
  
  
  figs.append(plt.figure(figsize=[9,4]))
  basicsubplot(1,'f(a) > f(b) > 0', [1.5, 0.5], [1.0,0.5])
  basicsubplot(2,'f(a) > 0 > f(b)', [0.5, -0.5], [0.5,0.0])
  basicsubplot(3,'0 > f(a) > f(b)', [-0.5, -1.5],[0.0,-0.5])
  plt.show()
  
  
  # ## Possible Solutions to Complementarity Problem, $f$ Strictly Increasing
  
  # In[5]:
  
  
  figs.append(plt.figure(figsize=[9,4]))
  basicsubplot(1,'f(a) < f(b) < 0', [-1.5, -0.5], [0.0,-1.5])
  basicsubplot(2,'f(a) < 0 < f(b)', [-0.5, 0.5], [0.5,0.0])
  demo.bullet(0.0,-0.5,'r.',18)
  demo.bullet(1.0,0.5,'r.',18)
  basicsubplot(3,'0 < f(a) < f(b)', [0.5, 1.5],[1.0,1.5])
  plt.show()
  
  
  # In[6]:
  
  
  demo.savefig(figs)
  
  