The python scripts used for my master thesis about direct diagonalization and application of group theory to quantum solids. - GitHub - Ranglur/MasteroppgavePython: The python scripts used for my ...

This Jupyter notebook explores the concepts of eigenvalues, eigenvectors, and matrix diagonalization. It demonstrates how to compute eigenvalues and eigenvectors, visualize vectors in 2D, and compare ...

Using NumPy for array and matrix math in Python. Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Matrix diagonalization (or termed, matrix eigen-decomposition) is a vital part of matrix theory. Different from static matrix diagonalization problem, in this paper, the more challenging problem, i.e.

The coupled CP decomposition jointly decomposes tensors that have at least one factor matrix in common. The SECSI (Semi-Algebraic framework for approximate CP decomposition via SImultaneaous matrix ...