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File:Ackley 2d.png

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Description
English: import numpy as np

import matplotlib.pylab as plt import matplotlib matplotlib.rcParams['text.usetex'] = True

x_linspace, y_linspace = np.meshgrid(np.linspace(-5,5,1500),np.linspace(-5,5,1500))

ackley = -20. * np.exp(-0.2 * np.sqrt(0.5 * (x_linspace**2 + y_linspace**2))) - np.exp(0.5 * (np.cos(2 * np.pi * x_linspace) + np.cos(2 * np.pi * y_linspace))) + np.e + 20

plt.pcolormesh(x_linspace, y_linspace, ackley) plt.xlabel(r"$x$", fontsize=20) plt.ylabel(r"$y$", fontsize=20) plt.xticks(fontsize=18) plt.yticks(fontsize=18) cbar = plt.colorbar(ticks=np.linspace(0,14,8)) cbar.ax.tick_params(labelsize=18) cbar.set_label(r"$f\left(x,y\right)$", fontsize=20, rotation=-90, labelpad=24) contour_lines = plt.contour(x_linspace, y_linspace, ackley, colors='w', levels=np.linspace(2,14,7), linewidths=0.5) plt.gca().set_aspect(1) plt.tight_layout() plt.savefig(f'ackley-function/ackley_2d.png', dpi=500, bbox_inches='tight')

plt.close()
Date
Source Own work
Author Balluwun-enjoyer

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Captions

A 2D plot of the Ackley function used in testing of numerical optimization algorithms.

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20 May 2023

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current05:09, 20 May 2023Thumbnail for version as of 05:09, 20 May 20232,954 × 2,348 (1.32 MB)Balluwun-enjoyerUploaded own work with UploadWizard

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