Numerical Linear Algebra with Applications

Cover image for Vol. 24 Issue 1

Edited By: Panayot S. Vassilevski

Impact Factor: 1.431

ISI Journal Citation Reports © Ranking: 2015: 22/312 (Mathematics); 43/254 (Mathematics Applied)

Online ISSN: 1099-1506


Aims and Scope

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.


Researchers in numerical analysis, computer science and natural sciences · engineers and economists who either take part in the development of methods in Numerical Linear Algebra or use such methods in their research · Educators in Numerical Analysis


numerical linear algebra, numerical engineering, numerical analysis, conjugate gradients, iterative methods, preconditioning methods, direct solution methods, numerical methods for eigenproblems, newton-like methods, nonlinear equations, parallel and vectorizable algorithms, computer science, journal, online journal, Wiley Online Library

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