Results 101 to 110 of about 132,832 (312)
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
MathematicsIn order to solve continuous stochastic Lyapunov equations, a novel implicit iterative algorithm is presented by means of successive over relaxation (SOR) iteration in this article.
Tianrui Wu, Peiqi Huang, Hong Chen
doaj +1 more source
Conjugate Gradient Hard Thresholding Pursuit Algorithm for Sparse Signal Recovery
Algorithms, 2019 We propose a new iterative greedy algorithm to reconstruct sparse signals in Compressed Sensing. The algorithm, called Conjugate Gradient Hard Thresholding Pursuit (CGHTP), is a simple combination of Hard Thresholding Pursuit (HTP) and Conjugate Gradient
Yanfeng Zhang +4 more
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Experimental evaluation of iterative learning control algorithms for non-minimum phase plants [PDF]
, 2005 The purpose of this paper is two-fold, firstly it describes the development and modelling of an experimental test facility as a platform on which to assess the performance of Iterative Learning Control (ILC) schemes.
Lewin, P.L., Freeman, C.T., Rogers, E.
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MachinesFormulating mathematical models and deriving efficient algorithms are crucial for meeting the requirements of future robotics applications. This paper proposes a novel approach for analyzing kinematic systems and computing inverse kinematics (IK ...
Abubaker Ahmed +4 more
doaj +1 more source
Iterative decreasing dimension algorithm
Computers & Mathematics with Applications, 2007 A system of \(n\) linear equations \(Ax=f\) is split into the first equation and a system of the remaining \(n-1\) equations. Solve the first equation for the first component \(x_k\) of \(x\) that has a nonzero coefficient \(a_{1k}\). This \(x_k\) will depend upon the other \(n-1\) components of \(x\), but the first equation is hereby satisfied.
Keskin, Tuba, Aydin, Kemal
openaire +2 more sources
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Weighted Majorization Algorithms for Weighted Least Squares Decomposition Models [PDF]
For many least-squares decomposition models efficient algorithms are well known. A more difficult problem arises in decomposition models where each residual is weighted by a nonnegative value.
Groenen, P.J.F. +2 more
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Inexact Bregman iteration with an application to Poisson data reconstruction [PDF]
, 2013 This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Ruggiero, V +3 more
core +1 more source