Understand Singular Value Decomposition

Singular value decomposition, or SVD is useful when the inverse form of an matrix is to be figured out. The main approach is to decomposite a matrix (A) to be multiplication of several matrices, i.e. A = S * V * D, which is for SVD. You’ll feel the beauty of math when understanding it just a little bit, and it is interesting.

class Particle(object):
    def __init__(self, np):
        pass