Learning some numerical linear algebra.
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Updated
Jan 2, 2021 - Python
Learning some numerical linear algebra.
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Python implementation of RLS-Nystrom
Randomized linear algebra-based methods for optimization and scientific computing in PyTorch.
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.
Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)
The user friendly randomized numerical linear algebra package
A comparison of the power and Jacobi methods for numerically approximating eigenvalues of a linear system.
All my assignments to the course MM5016 at Stockholm University
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.
Programs in python for numerical linear algebra
Class taken at MSU in Fall 2022 | Mostly homework scripts
Compute LSU factorization of a matrix in PyTorch
A numerical linear algebra library implemented using only Numpy arrays.
A program that computes eigenvalues of a Floquet Hamiltonian in the dipole approximation
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