Results 241 to 250 of about 1,481 (288)
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Iterative Solution Methods and Preconditioners for Block-Tridiagonal Systems of Equations
SIAM Journal on Matrix Analysis and Applications, 1992The authors study semicirculant preconditioners \(M\) used in CG-like iterative methods for solving linear systems \(Bu=b\) of \(n\) algebraic equations arising typically from the implicit time and finite difference spatial discretizations of initial-boundary value problems for linear systems of partial differential equations of the form \(\partial u ...
S. Holmgren, K. Otto
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Iteratively constructing preconditioners via the conjugate gradient method
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing, 2007We consider the problem of solving a symmetric, positive definite system of linear equations.The most well-known and widely-used method for solving such systemsis the preconditioned Conjugate Gradient method.The performance of this method depends crucially on knowing a good preconditioner matrix.We show that the Conjugate Gradient method itself ...
John Dunagan, Nicholas J. A. Harvey
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Iterative Substructuring Preconditioners for Mortar Element Methods in Two Dimensions
SIAM Journal on Numerical Analysis, 1999The paper is devoted to the construction of effective model grid operators (preconditioners) for classes of linear grid systems with positive operators. The suggested constructions lead to estimates of the spectral condition number like \(O(\log^2N)\); the model operators are almost spectrally equivalent to the original ones.
Achdou, Yves, Maday, Yvon, Widlund, Olof
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PMHSS iteration method and preconditioners for Stokes control PDE-constrained optimization problems
Numerical Algorithms, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shan-Mou Cao, Zeng-Qi Wang
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On Single Precision Preconditioners for Krylov Subspace Iterative Methods
2008Large sparse linear systems Ax= barise in many scientific applications. Krylov subspace iterative methods are often used for solving such linear systems. Preconditioning techniques are efficient to reduce the number of iterations of Krylov subspace methods.
Hiroto Tadano, Tetsuya Sakurai
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IEEE Geoscience and Remote Sensing Letters, 2021
In this letter, a new approach is proposed to ameliorate the performance of iterative gradient-like regularization schemes aimed at enhancing the spatial resolution of microwave radiometer measurements in the Hilbert space. The approach consists of preconditioning the ill-conditioned discrete problem to let the iterative gradient-based inversion ...
Matteo Alparone +3 more
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In this letter, a new approach is proposed to ameliorate the performance of iterative gradient-like regularization schemes aimed at enhancing the spatial resolution of microwave radiometer measurements in the Hilbert space. The approach consists of preconditioning the ill-conditioned discrete problem to let the iterative gradient-based inversion ...
Matteo Alparone +3 more
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Using Performance Profiles to Evaluate Preconditioners for Iterative Methods
2006We evaluate performance profiles as a method for comparing preconditioners for iterative solvers by using them to address three questions that have previously been asked about incomplete LU preconditioners. For example, we use performance profiles to quantify the observation that if a system can be solved by a preconditioned iterative solver, then that
Michael Lazzareschi, Tzu-Yi Chen
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Efficient Preconditioner and Iterative Method for Large Complex Symmetric Linear Algebraic Systems
East Asian Journal on Applied Mathematics, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liao, Li Dan, Zhang, Guo Feng
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Computational and Applied Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lu-Bin Cui, Yu-Dong Fan, Yu-Tao Zheng
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lu-Bin Cui, Yu-Dong Fan, Yu-Tao Zheng
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