JSTOR Daily

A Simplified Generalized Gauss-Newton Method for Nonlinear Ill-Posed Problems

Iterative regularization methods for nonlinear ill-posed equations of the form F(x) = y, where F : D(F) ⊂ X → Y is an operator between Hilbert spaces X and Y, usually involve calculation of the ...
News Medical

Using structured gaussian processing algorithm for spatiotemporal prediction of COVID-19 pandemic in the US

In a recent study posted to the medRxiv* pre-print server, researchers identified spatial/geographical (county-level) features associated with increased coronavirus disease 2019 (COVID-19) cases and ...
GIGAZINE

A method is developed to dramatically improve the accuracy of '3D Gaussian splitting,' which converts images into 3D

A research team from the University of British Columbia and Google has announced that they have developed a method called '3D Gaussian Splatting as a Markov Chain Monte Carlo Method' that dramatically ...
TechRepublic

Implementation of Complex Matrix Inversion Using Gauss-Jordan Elimination Method in Verilog

For high data rate wireless communications they use Orthogonal Frequency Division Multiplexing (OFDM) due to its high spectral efficiency and low computational complexity. It gives the architecture of ...
JSTOR Daily

On an improved convergence analysis of a two-step Gauss-Newton type method under generalized Lipschitz conditions

This is a preview. Log in through your library . Abstract We present a local convergence analysis of a two-step Gauss-Newton method under the generalized and classical Lipschitz conditions for the ...