Numerical Linear Algebra with Applications

期刊简介：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.

【译文】提交给《数值线性代数与应用》的稿件应包括大规模广泛兴趣的应用，其中具有挑战性的计算结果是所研究与分析方法的重要组成部分。编辑认为不符合这些条件的稿件将不会被接受审阅。《数值线性代数与应用》接收在以下领域的研究论文：开发、分析和应用线性代数算法来解决多线性（张量）代数、统计学（如马尔可夫链）以及大规模网络、算法开发、性能分析或相关计算方面的问题。涵盖的主题包括：标准与广义共轭梯度、多重网格及其他迭代方法；预条件方法；直接求解方法；特征值问题的数值方法；非线性方程的牛顿类方法；数值线性代数中的并行和可向量化的算法；数值线性代数方法在科学、工程和经济中的应用。