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)
Randomized linear algebra-based methods for optimization and scientific computing in PyTorch.
All my assignments to the course MM5016 at Stockholm University
The user friendly randomized numerical linear algebra package
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.
Implementação de método direto e indireto de um sistema de equação linear.
Class taken at MSU in Fall 2022 | Mostly homework scripts
DIY Numerical Linear Algebra package
Programs in python for numerical linear algebra
Image compression using Singular Value Decomposition (SVD) in Python, comparing a 'from scratch' Power Iteration method with NumPy's optimized SVD.
Compute LSU factorization of a matrix in PyTorch
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.
A program that computes eigenvalues of a Floquet Hamiltonian in the dipole approximation
A comparison of the power and Jacobi methods for numerically approximating eigenvalues of a linear system.
A numerical linear algebra library implemented using only Numpy arrays.
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