约束单调非线性方程的三种自适应混合无导数投影方法及其应用

IF 1.8 3区 数学 Q1 MATHEMATICS
Peng Liu, Xiaoyu Wu, H. Shao, Yan Zhang, Shuhan Cao
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引用次数: 6

摘要

在这项工作中,通过考虑超平面投影和混合技术,将三种尺度三项共轭梯度方法推广到求解约束单调非线性方程组,并且所开发的方法具有存储量低和只使用函数值的优点。新方法满足与任何线性搜索准则无关的充分下降条件。证明了三种新方法在一定的温和条件下具有全局收敛性。约束单调非线性方程组和图像去模糊问题的数值实验表明,所提出的方法在数值上是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three adaptive hybrid derivative‐free projection methods for constrained monotone nonlinear equations and their applications
In this work, by considering the hyperplane projection and hybrid techniques, three scaled three‐term conjugate gradient methods are extended to solve the system of constrained monotone nonlinear equations, and the developed methods have the advantages of low storage and only using function values. The new methods satisfy the sufficient descent condition independent of any line search criterion. It has been proved that three new methods converge globally under some mild conditions. The numerical experiments for constrained monotone nonlinear equations and image de‐blurring problems illustrate that the proposed methods are numerically effective and efficient.
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来源期刊
CiteScore
3.40
自引率
2.30%
发文量
50
审稿时长
12 months
期刊介绍: Manuscripts submitted to Numerical Linear Algebra with Applications should include large-scale broad-interest applications in which challenging computational results are integral to the approach investigated and analysed. Manuscripts that, in the Editor’s view, do not satisfy these conditions will not be accepted for review. Numerical Linear Algebra with Applications receives submissions in areas that address developing, analysing and applying linear algebra algorithms for solving problems arising in multilinear (tensor) algebra, in statistics, such as Markov Chains, as well as in deterministic and stochastic modelling of large-scale networks, algorithm development, performance analysis or related computational aspects. Topics covered include: Standard and Generalized Conjugate Gradients, Multigrid and Other Iterative Methods; Preconditioning Methods; Direct Solution Methods; Numerical Methods for Eigenproblems; Newton-like Methods for Nonlinear Equations; Parallel and Vectorizable Algorithms in Numerical Linear Algebra; Application of Methods of Numerical Linear Algebra in Science, Engineering and Economics.
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