Results 101 to 110 of about 81,041 (236)
한국해양공학회지Recently, 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 +3 more
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Conformable fractional order variation-based image deblurring
Partial Differential Equations in Applied MathematicsImage 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 +4 more
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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
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A Class of Preconditioners for Large Indefinite Linear Systems, as by-product of Krylov subspace Methods: Part II [PDF]
In this paper we consider the parameter dependent class of preconditioners M(a,d,D) defined in the companion paper The latter was constructed by using information from a Krylov subspace method, adopted to solve the large symmetric linear system Ax = b ...
Giovanni Fasano, Massimo Roma
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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 +3 more
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Preconditioned Dirichlet-Dirichlet Methods for Optimal Control of Elliptic PDE
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2018 The discretization of optimal control of elliptic partial differential equations problems yields optimality conditions in the form of large sparse linear systems with block structure. Correspondingly, when the solution method is a Dirichlet-Dirichlet non-
Loghin Daniel
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MathematicsThe purpose of this work is to study the efficient numerical solvers for time-dependent conservative space fractional diffusion equations. Specifically, for the discretized Toeplitz-like linear system, we aim to study efficient preconditioning based on a
Xiaofeng Guo
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Multilevel acceleration of scattering-source iterations with application to electron transport
Nuclear Engineering and Technology, 2017 Acceleration/preconditioning strategies available in the SCEPTRE radiation transport code are described. A flexible transport synthetic acceleration (TSA) algorithm that uses a low-order discrete-ordinates (SN) or spherical-harmonics (PN) solve to ...
Clif Drumm, Wesley Fan
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Improved New Block Preconditioner for Solving 3 × 3 Block Saddle Point Problems
AxiomsIn order to overcome the computational challenges associated with block preconditioners for Krylov subspace methods, particularly those arising from Schur complement systems, this paper proposes an improved new block (INB) preconditioner for solving 3 ...
Xin-Hui Shao, Xin-Yang Liu
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A Parameterized Splitting Preconditioner for Generalized Saddle Point Problems
Journal of Applied Mathematics, 2013 By using Sherman-Morrison-Woodbury formula, we introduce a preconditioner based on parameterized splitting idea for generalized saddle point problems which may be singular and nonsymmetric.
Wei-Hua Luo, Ting-Zhu Huang
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