Results 61 to 70 of about 770,509 (245)

Bending Analysis of Thickness‐ and Shear‐Deformable Materially Imperfect Composite Shells With von Kármán‐Type Geometric Nonlinearities

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Geometrically nonlinear static analysis of materially imperfect composite doubly curved shells is investigated via the generalised differential quadrature method. The effects of both shear and thickness deformation are considered through a thickness‐ and shear‐deformable third‐order theory formulated in curvilinear coordinates, while the ...
Behrouz Karami, Mergen H. Ghayesh, Shahid Hussain, Marco Amabili   +3 more
wiley   +1 more source

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics

Advanced Quantum Technologies, EarlyView.
Quantum algorithms for differential equations are developed with applications in computational fluid dynamics. The methods follow an iterative simulation framework, implementing Jacobi and Gauss–Seidel schemes on quantum registers through linear combinations of unitaries.
Chelsea A. Williams, Antonio A. Gentile, Vincent E. Elfving, Daniel Berger, Oleksandr Kyriienko   +4 more
wiley   +1 more source

Hybrid Chebyshev-Type Methods for Solving Nonlinear Equations

Mathematics
Chebyshev-type methods have replaced the Chebyshev method in practice for solving nonlinear equations in abstract spaces. These methods are of the same R-order of three.
Ioannis K. Argyros, Santhosh George
doaj   +1 more source

Substitution of Ti by Nb in Maraging Steel: Effects on Strengthening Mechanisms and Crystallographic Behavior

steel research international, EarlyView.
This work demonstrates that replacing Ti with Nb in maraging steel forms nanoscale Nb–Mo particles along boundaries, strengthening the alloy without relying on Ti phases. Heat‐treatment tuning promotes uniform crystal orientation and balanced grain boundaries, enabling strong yet ductile behavior.
Mohamad Masoumi, Manoel José, Gerardo Jesus Aracena Pérez, Isabel Ferreira Barros, Marcos Natan da Silva Lima, Geronimo Perez, Samuel Lucas Santos Medeiros, Pedro Henrique Pinheiro Lima, Luís Flávio Gaspar Herculano, Maria Vittoria Moraschini Reis, Sérgio Souto Maior Tavares, Farina Alexandre Bellegard, Fridman Daniel Pallos, Miloslav Béreš, Hamilton Ferreira Gomes de Abreu   +14 more
wiley   +1 more source

Richardson and Chebyshev iterative methods by using g-frames

Sahand Communications in Mathematical Analysis, 2018
Summary: In this paper, we design some iterative schemes for solving operator equation \(Lu=f \), where \( L:H\rightarrow H \) is a bounded, invertible and self-adjoint operator on a separable Hilbert space \( H \). In this concern, Richardson and Chebyshev iterative methods are two outstanding as well as long-standing ones.
Jamali, Hassan, Kolahdouz, Mohsen
openaire   +3 more sources

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Numerical Treatment of the Time-Fractional Kuramoto–Sivashinsky Equation Using a Combined Chebyshev-Collocation Approach

Fractal and Fractional
In this paper, we present a collocation algorithm for numerically treating the time-fractional Kuramoto–Sivashinsky equation (TFKSE). Certain orthogonal polynomials, which are expressed as combinations of Chebyshev polynomials, and their shifted ...
Waleed Mohamed Abd-Elhameed, Mohamed A. Abdelkawy, Naher Mohammed A. Alsafri, Ahmed Gamal Atta   +3 more
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Differential Quadrature Solution of Hyperbolic Telegraph Equation

Journal of Applied Mathematics, 2012
Differential quadrature method (DQM) is proposed for the numerical solution of one- and two-space dimensional hyperbolic telegraph equation subject to appropriate initial and boundary conditions.
B. Pekmen, M. Tezer-Sezgin
doaj   +1 more source

Numerical Solution of a Class of Functional-Differential Equations Using Jacobi Pseudospectral Method

Abstract and Applied Analysis, 2013
The shifted Jacobi-Gauss-Lobatto pseudospectral (SJGLP) method is applied to neutral functional-differential equations (NFDEs) with proportional delays.
A. H. Bhrawy, M. A. Alghamdi, D. Baleanu
doaj   +1 more source