Computational Physics, Linear Algebra, Python, Math, Matrix.
plt.title(title) plt.show() n=5 n=10 n=15 n=20 n=30 n=50 Even with 50 components, the quality of the image is not bad! Conclusion Singular Value Decomposition (SVD) is a powerful matrix factorization technique that provides valuable insights into the structure and properties of data. By decomposing