Solve the block-diagonal matrix by a new function linsolve_block_diag(blocks, b). Break the system into sub-systems, and solve each sub-system separately. Compare the computation time needed to solve ...

kitaev_clusters: Python package for Exact Diagonalization of the Kitaev honeycomb model. Efficient construction and diagonalization of extremely large sparse matrix Hamiltonians. statistical-mechanics ...

Learn how to implement SVD and NMF methods to decompose user-item rating matrices and improve recommendations using Python or R. ... and S is a diagonal matrix that contains the singular values.

Overview. Mathematics 271: Linear Algebra II continues the study of linear algebra from Mathematics 270.Mathematics 271 is suggested for students in the science programs. The course covers ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

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.