Results 11 to 20 of about 10,608 (327)
A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning. [PDF]
Liu J, Marsden AL.
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Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring
We are interested in fast and stable iterative regularization methods for image deblurring problems with space invariant blur. The associated coefficient matrix has a Block Toeplitz Toeplitz Blocks (BTTB) like structure plus a small rank correction ...
Davide Bianchi, Alessandro Buccini
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A modification to an existing iterative method for computing zeros with unknown multiplicities of nonlinear equations or a system of nonlinear equations is presented.
Fayyaz Ahmad +6 more
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This article is devoted to the construction and study of the finite element method for solving a two-dimensional nonlinear equation of elliptic type.
D.R. Baigereyev +2 more
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Performance of relaxed iterative methods for image deblurring problems
In this paper, we consider performance of relaxation iterative methods for four types of image deblurring problems with different regularization terms.
Jae H Yun
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We deal with numerical solution of the incompressible Navier–Stokes equations discretized using the isogeometric analysis (IgA) approach. Similarly to finite elements, the discretization leads to sparse nonsymmetric saddle‐point linear systems.
Hana Horníková, C. Vuik, J. Egermaier
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A Modified SSOR Preconditioning Strategy for Helmholtz Equations
The finite difference method discretization of Helmholtz equations usually leads to the large spare linear systems. Since the coefficient matrix is frequently indefinite, it is difficult to solve iteratively.
Shi-Liang Wu, Cui-Xia Li
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Total fractional-order variation (TFOV) in image deblurring problems can reduce/remove the staircase problems observed with the image deblurring technique by using the standard total variation (TV) model. However, the discretization of the Euler–Lagrange
Adel M. Al-Mahdi
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Parallel iterative computational methods for 3D finite element flow simulations
In this paper we discuss sparse matrix computational methods, and their parallel implementations, for evaluating matrix-vector products in iterative solution of coupled, nonlinear equations encountered in finite element flow simulations. Based on sparse
Vinay Kalro, Tayfun Tezduyar
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