Dec 23, 2015 · A Stochastic Newton-Raphson Method with Noisy Function Measurements. Abstract: This letter shows that traditional Newton-Raphson (NR) method ...
Raphson (NR) method cannot achieve zero-convergence in presence of additive noise without adding a multiplicative gain. Furthermore, this gain needs to.
This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method, and shows that the proposed ...
This letter shows that traditional Newton-Raphson (NR) method cannot achieve zero-convergence in presence of additive noise without adding a multiplicative ...
A Stochastic Newton-Raphson Method with Noisy Function Measurements ; ISSN: 1070-9908; 1558-2361 ; DOI: 10.1109/lsp.2015.2511456 ; Document · 045044057 ; Content.
Mar 1, 2016 · This letter shows that traditional Newton-Raphson (NR) method cannot achieve zero-convergence in presence of additive noise without adding a ...
Jan 19, 2021 · I would like to know, whether any improved Newton Raphson method is available for non-linear overdetermined equations (So we use Jacobian matrix ...
TL;DR: This paper proposes employing a recent optimal stochastic Newton-Raphson (NR) algorithm with measurement noise rejection capability for a class of ...
A convergence theorem for non-negative almost super-martingales and some applications ; Efficient recursive estimation; application to estimating the parameters ...
Missing: Measurements. | Show results with:Measurements.
This paper proposes employing a recent optimal stochastic Newton-Raphson (NR) algorithm with measurement noise rejection capability for a class of localization.