Learning some numerical linear algebra.
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Updated
Jan 2, 2021 - Python
Learning some numerical linear algebra.
Python implementation of RLS-Nystrom
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
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.
All my assignments to the course MM5016 at Stockholm University
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.
The user friendly randomized numerical linear algebra package
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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