3D Surface
Himmelblau's Function
Multi-modal optimization function with four identical local minima.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
colors = ['#0a0a0f', '#581c87', '#ec4899', '#06b6d4', '#22d3ee']
cmap = LinearSegmentedColormap.from_list('magenta_cyan', colors, N=256)
X = np.linspace(-5, 5, 100)
Y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(X, Y)
Z = (X**2 + Y - 11)**2 + (X + Y**2 - 7)**2 # Himmelblau
Z = np.log10(Z + 1) # Log scale
fig = plt.figure(figsize=(10, 8), facecolor='#0a0a0f')
ax = fig.add_subplot(111, projection='3d', facecolor='#0a0a0f')
surf = ax.plot_surface(X, Y, Z, cmap=cmap, linewidth=0, antialiased=True)
ax.set_xlabel('X', color='white', fontsize=10)
ax.set_ylabel('Y', color='white', fontsize=10)
ax.set_zlabel('log₁₀(f+1)', color='white', fontsize=10)
ax.set_title("Himmelblau's Function", color='white', fontsize=14, fontweight='bold', pad=20)
ax.tick_params(colors='#64748b', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#1e293b')
ax.yaxis.pane.set_edgecolor('#1e293b')
ax.zaxis.pane.set_edgecolor('#1e293b')
ax.view_init(elev=30, azim=45)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
3D Charts
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