Mathematical Definition
Input Domain
The function can be defined on any input range but it is usually evaluated on x ∈ [-20,0] and y ∈ [-20,0].
Global Minima
The function has one global minimum at f(x∗) = e-200 located at x∗=(−10,−10).
Characteristics
The function is convex.
The function is defined on 2-dimensional space.
The function is differentiable.
The function is non-separable.
Python Implementation
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% Author: SHIVANGI CHANDRA DUBEY
#For n=2
#brent accepts the values of 2 MxM dimension matrices X, Y
#it returns the computation of the matrices in an MxM matrix Z
#the function is then plotted using (X,Y,Z)
#thus giving us a contour plot
from mpl_toolkits import mplot3d
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
def brent(x,y):
return (x+10)**2+(y+10)**2+np.exp(-x**2-y**2);
x=np.linspace(-20,0,20)
y=np.linspace(-20,0,20)
X,Y=np.meshgrid(x,y)
Z=brent(X,Y)
def plotFunction(e,a):
fig=plt.figure(figsize=[12,8])
ax=plt.axes(projection='3d')
surf=ax.plot_surface(X,Y,Z,cmap=cm.coolwarm)
ax.view_init(elev=e,azim=a)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('fx')
ax.set_title('Brent Function')
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()
plt.contour(X,Y,Z)
plt.show()
from ipywidgets import interactive
iplot=interactive(plotFunction,
e=(-90,90,5),
a=(-90,90,5))
iplot
References:
[1] Survajonic, Sonja & Bingham, Derek, “Virtual Library of Simulation Experiments”, sfu.ca,
https://www.sfu.ca/~ssurjano/optimization.html
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