Three-Step Approximation Methods from Continuous and Discrete Perspective for Quasi-Variational Inequalities

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED Computational Mathematics and Mathematical Physics Pub Date : 2024-06-07 DOI:10.1134/s0965542524700027
N. Mijajlović, M. Jaćimović
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Abstract

The objective of this manuscript is to study the convergence of three-step approximation methods for quasi-variational inequalities in the general case. First, we propose the three-step dynamical system and carry out an asymptotic analysis for the generated trajectories. The explicit time discretization of this system results into a three-step iterative method, which we prove to converge also when it is applied to strongly-monotone quasi-variational inequalities. In addition, we show that linear convergence is guaranteed under strong-monotonicity.

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从连续和离散角度看准变量不等式的三步逼近法
摘要 本文旨在研究一般情况下准变分不等式的三步近似方法的收敛性。首先,我们提出了三步动力系统,并对生成的轨迹进行了渐近分析。该系统的显式时间离散化产生了一种三步迭代法,我们证明当该方法应用于强单调准变不等式时也会收敛。此外,我们还证明,在强单调性条件下,线性收敛是有保证的。
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来源期刊
Computational Mathematics and Mathematical Physics
Computational Mathematics and Mathematical Physics MATHEMATICS, APPLIED-PHYSICS, MATHEMATICAL
CiteScore
1.50
自引率
14.30%
发文量
125
审稿时长
4-8 weeks
期刊介绍: Computational Mathematics and Mathematical Physics is a monthly journal published in collaboration with the Russian Academy of Sciences. The journal includes reviews and original papers on computational mathematics, computational methods of mathematical physics, informatics, and other mathematical sciences. The journal welcomes reviews and original articles from all countries in the English or Russian language.
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