Journal Title：Numerical Linear Algebra With Applications

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.

提交给 Numerical Linear Algebra with Applications 的手稿应包括具有广泛兴趣的大规模应用，其中具有挑战性的计算结果是所研究和分析方法不可或缺的一部分。编辑认为不满足这些条件的稿件将不被接受。

Numerical Linear Algebra with Applications 接收的提交内容涉及开发、分析和应用线性代数算法以解决多线性（张量）代数中出现的问题，统计学（例如马尔可夫链）以及确定性和随机建模大规模网络、算法开发、性能分析或相关计算方面。

涵盖的主题包括：标准和广义共轭梯度、多重网格和其他迭代方法；预处理方法；直接解决方法；特征问题的数值方法；非线性方程的类牛顿方法；数值线性代数中的并行和矢量化算法；数值线性代数方法在科学、工程和经济学中的应用。