Results 1 to 10 of about 936 (69)
A note on fixed point method and linear complementarity problem
In this article, we present a general form of the fixed point method for processing the large and sparse linear complementarity problem, as well as a general condition for the method's convergence when the system matrix is a \(P\)-matrix and some ...
Bharat Kumar, Deepmala, Arup K Das
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This paper develops a block diagonal preconditioned Uzawa splitting (BDP-US) method for solving saddle point problems by generalizing the Uzawa splitting iteration method proposed by Li and Ma ( Numer Math Theory Methods Appl 2018; 11: 235–246).
Bo Wu, Xing-Bao Gao
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Prediction of anomalous LA-TA splitting in electrides
Electrides are an emerging class of materials with excess electrons localized in interstices and acting as anionic interstitial quasi-atoms (ISQs). The spatial ion–electron separation means that electrides can be treated physically as ionic crystals, and
Leilei Zhang, Hua Y. Geng, Q. Wu
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A new Approach for the Modulus-Based Matrix Splitting Algorithms
We investigate the modulus-based matrix splitting iteration algorithms for solving the linear complementarity problems (LCPs) and propose a new model to solve it.
Wenpeng Wang +3 more
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SIMETRISASI BENTUK KANONIK JORDAN
If the characteristic polynomial of a linear operator is completely factored in scalar field of then Jordan canonical form of can be converted to its rational canonical form of , and vice versa.
Darlena Darlena, Ari Suparwanto
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In this paper, we demonstrate a complete version of the convergence theory of the modulus-based matrix splitting iteration methods for solving a class of implicit complementarity problems proposed by Hong and Li (Numer. Linear Algebra Appl.
An Wang, Yang Cao, Quan Shi
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The systematic analysis of convergence conditions, used in comparison theorems proven for different matrix splittings, is presented. The central idea of this analysis is the scheme of condition implications derived from the properties of regular ...
Zbigniew I. Woźnicki
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Computing Exponential for Iterative Splitting Methods: Algorithms and Applications
Iterative splitting methods have a huge amount to compute matrix exponential. Here, the acceleration and recovering of higher-order schemes can be achieved.
Jürgen Geiser
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A Data-Driven Parameter Prediction Method for HSS-Type Methods
Some matrix-splitting iterative methods for solving systems of linear equations contain parameters that need to be specified in advance, and the choice of these parameters directly affects the efficiency of the corresponding iterative methods. This paper
Kai Jiang, Jianghao Su, Juan Zhang
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A new generalized shift-splitting method for nonsymmetric saddle point problems
Recently, Huang and Huang [ Journal of Computational and Applied Mathematics , 328 (2018) 381–399] proposed a modified generalized shift-splitting preconditioned (denoted by MGSSP) method for solving large sparse saddle point problems, and gave the ...
Tao Wei, Li-Tao Zhang
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