Numerical Linear Algebra With Applications

杂志介绍

Numerical Linear Algebra With Applications杂志介绍

《Numerical Linear Algebra With Applications》是一本以English为主的未开放获取国际优秀期刊，中文名称数值线性代数及其应用，本刊主要出版、报道数学-MATHEMATICS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.8，最新CiteScore 指数为3.4。

本刊近期中国学者发表的论文主要有：

• A class of block alternating splitting implicit iteration methods for double saddle point linear systems

  Author: Dou, Yan; Liang, Zhao-Zheng

• Low Tucker rank tensor completion using a symmetric block coordinate descent method

  Author: Yu, Quan; Zhang, Xinzhen; Chen, Yannan; Qi, Liqun

• Lower and upper bounds of condition number for Vandermonde-wise matrices and method of fundamental solutions using pseudo radial-lines

  Author: Zhang, Li-Ping; Li, Zi-Cai; Lee, Ming-Gong; Huang, Hung-Tsai

• The analytic connectivity in uniform hypergraphs: Properties and computation

  Author: Cui, Chunfeng; Luo, Ziyan; Qi, Liqun; Yan, Hong

英文介绍

Numerical Linear Algebra With Applications杂志英文介绍

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.