IEEE

Conjugate gradient based Cholesky CMA-ES estimation algorithms for Hammerstein systems

Abstract: This paper studies the parameter estimation problems of nonlinear systems with colored noise using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using JavaScript

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
IEEE

Joint Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Singular Value Decomposition and Multi-Innovation Adaptive Unscented Kalman Filter ...

Abstract: Accurate state estimation of lithium-ion batteries faces fundamental challenges: integer-order models fail to capture diffusion dynamics effectively, Cholesky decomposition-based filtering ...
GitHub

Smile Matrix Decomposition Pipeline

Construct matrices, apply decompositions (LU, QR, SVD, EVD, Cholesky), solve linear systems, and extract results — a Python port of Smile's BLAS/LAPACK-backed tensor module. A numerical linear algebra ...