Results 31 to 40 of about 20,204 (210)

Variable-step finite difference schemes for the solution of Sturm-Liouville problems

open access: yes, 2014
We discuss the solution of regular and singular Sturm-Liouville problems by means of High Order Finite Difference Schemes. We describe a code to define a discrete problem and its numerical solution by means of linear algebra techniques.
Amodio, Pierluigi, Settanni, Giuseppina
core   +1 more source

Diffusion Robust Variable Step-Size LMS Algorithm Over Distributed Networks

open access: yesIEEE Access, 2018
In this paper, we propose a novel diffusion robust variable step-size least mean square (DRVSS-LMS) algorithm that is insensitive to impulsive noise for distributed estimation in the network.
Wei Huang   +3 more
doaj   +1 more source

Blow-up behavior of collocation solutions to Hammerstein-type volterra integral equations [PDF]

open access: yes, 2013
We analyze the blow-up behavior of one-parameter collocation solutions for Hammerstein-type Volterra integral equations (VIEs) whose solutions may blow up in finite time.
Bandle C.   +6 more
core   +1 more source

A class of constant modulus algorithms for uniform linear arrays with a conjugate symmetric constraint [PDF]

open access: yes, 2010
A class of constant modulus algorithms (CMAs) subject to a conjugate symmetric constraint is proposed for blind beamforming based on the uniform linear array structure.
Biedka   +19 more
core   +1 more source

LamelODF: a MATLAB‐based toolbox for orientation distribution analysis and mapping of lamellar minerals for laboratory and synchrotron X‐ray diffractometers

open access: yesJournal of Applied Crystallography, EarlyView.
LamelODF is a MATLAB‐based toolbox aimed at simplifying the automated extraction of orientation distribution functions from 2D X‐ray diffraction data of lamellar minerals in transmission mode. It accommodates both laboratory and synchrotron data formats, providing an integrated pipeline from raw data to spatially resolved textural maps, enabling robust
Baptiste Dazas   +5 more
wiley   +1 more source

Alternating iterative algorithms for the split equality problem without prior knowledge of operator norms

open access: yesJournal of Inequalities and Applications, 2020
In this paper, we study the alternating CQ algorithm for solving the split equality problem in Hilbert spaces. It is, however, not easy to implement since its selection of the stepsize requires prior information on the norms of bounded linear operators ...
Hai Yu, Fenghui Wang
doaj   +1 more source

A Novel Individual Variable Step-Size Subband Adaptive Filter Algorithm Robust to Impulsive Noises

open access: yesIEEE Access, 2021
This paper proposes a novel individual variable step-size subband adaptive filter algorithm robust to impulsive noises. A fixed step-size subband adaptive filter algorithm that is robust against impulsive noises is newly derived by obtaining the optimal ...
Taesu Park, Minho Lee, Poogyeon Park
doaj   +1 more source

Convergence of the Variable Order and Variable Stepsize Direct Integration Methods for the Solution of the Higher Order Ordinary Differential Equations [PDF]

open access: yes, 1985
The DI methods for directly solving a system ofa general higher order ODEs are discussed. The convergence of the constant stepsize and constant order formulation of the DI methods is proven first before the convergence for the variable order and ...
Suleiman, Mohamed
core  

On the Convergence of Decentralized Gradient Descent

open access: yes, 2015
Consider the consensus problem of minimizing $f(x)=\sum_{i=1}^n f_i(x)$ where each $f_i$ is only known to one individual agent $i$ out of a connected network of $n$ agents.
Ling, Qing, Yin, Wotao, Yuan, Kun
core   +2 more sources

Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi   +4 more
wiley   +1 more source

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