The user friendly randomized numerical linear algebra package
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Updated
Jul 3, 2024 - Python
The user friendly randomized numerical linear algebra package
DCGeig is a solver for large, sparse generalized eigenvalue problems with real symmetric positive definite matrices. It computes eigenvalues and eigenvectors and can be used, e.g., for computing eigenfrequencies of finite element models.
Python implementation of RLS-Nystrom
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Implemented Numerical Linear Algebra algorithms with improved performance over the standard algorithm in terms of speed, storage, and stability for special matrices of scientific interest; such as Vandermonde, sparse, and Hermitian matrices.
All my assignments to the course MM5016 at Stockholm University
Learning some numerical linear algebra.
Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)
Programs in python for numerical linear algebra
A comparison of the power and Jacobi methods for numerically approximating eigenvalues of a linear system.
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