Results 81 to 90 of about 12,661,880 (175)

Alternating Krylov subspace image restoration methods

Journal of Computational and Applied Mathematics, 2012
Let \(f^\delta\) represent the available noise- and blur-contaminated image and \(\widehat u\) the associated image that is to recover. The model \[ f^\delta(x)= \int h(x,y)\widehat u(y)\,dy+ \eta^\delta(x),\quad x\in\Omega, \] with the noise \(\eta^\delta\) is assumed.
J. O. Abad, MORIGI, SERENA, L. Reichel, SGALLARI, FIORELLA   +3 more
openaire   +5 more sources

Conformable fractional order variation-based image deblurring

Partial Differential Equations in Applied Mathematics
Image deblurring (ID) plays a vital role in various applications, including photography, medical imaging, and surveillance. Traditional ID methods often face challenges in preserving fine details and handling complex blurring scenarios due to expensive ...
Shahid Saleem, Faisal Fairag, Adel M. Al-Mahdi, Mohammad M. Al-Gharabli, Shahbaz Ahmad   +4 more
doaj   +1 more source

Krylov Subspace Methods on Parallel Computers

, 1996
The aspects of implementing Krylov subspace methods on parallel computers are investigated. It is shown how to increase the parallel performance by restructuring standard sequential versions of the algorithms, with some trade-off in stability.
Patrik Skogqvist
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Structural Response Evaluation of Krylov Subspace-Based Reduced-Order Model for Real-Time Structural Health Monitoring and Prediction of Container Ships

한국해양공학회지
Recently, digital transformation has become crucial for the safe operation and extended lifespan of ships and offshore structures. Structural health management is gaining importance and driving interest in digital twin technology for monitoring ...
Kichan Sim, Byoung Wan Kim, Jeong Sam Han, Kangsu Lee   +3 more
doaj   +1 more source

An Improved Reduced-Dimension Robust Capon Beamforming Method Using Krylov Subspace Techniques

Sensors
A reduced-dimension robust Capon beamforming method using Krylov subspace techniques (RDRCB) is a diagonal loading algorithm with low complexity, fast convergence and strong anti-interference ability.
Xiaolin Wang, Xihai Jiang, Yaowu Chen
doaj   +1 more source

Comparison of Algebraic Multigrid Preconditioners for Solving Helmholtz Equations

Journal of Applied Mathematics, 2012
An algebraic multigrid (AMG) with aggregation technique to coarsen is applied to construct a better preconditioner for solving Helmholtz equations in this paper.
Dandan Chen, Ting-Zhu Huang, Liang Li
doaj   +1 more source

KRYLOV SUBSPACE ACCELERATION OF WAVEFORM RELAXATION ∗

, 2008
. In this paper we describe and analyze Krylov subspace techniques for accelerating the convergence of waveform relaxation for solving time dependent problems. A new class of accelerated waveform methods, convolution Krylov subspace methods, is presented.
Andrew Lumsdaine, Deyun Wu
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Preconditioning Techniques in Krylov Subspace Methods

This study discusses preconditioning approaches to address large, sparse linear systems as well as Krylov subspace methods. Among others, computational fluid dynamics, structural analysis, and electromagnetic simulations use Krylov methods like the ...
Najm, Zina Jabbar
core   +1 more source

High-order Krylov-Newton and

, 2007
Keywords: secant methods, Krylov subspace methods, nonlinear equations, Newton's method, Broydcn's method AMS(MOS) subject classification: 3504, 35Q35, 35M10 ...
Fast Krylov-Secant Methods, Hector Klie, Marcelo Raml, Marcelo Rame, Hictor Kle, F. Wheeler, Mary Wheeler, Mary   +7 more
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Overview of Krylov subspace methods with applications to control problems [PDF]

, 1989
An overview of projection methods based on Krylov subspaces are given with emphasis on their application to solving matrix equations that arise in control problems.
Saad, Youcef
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