Numerical Linear Algebra with Applications

Aims & 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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	1.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.757

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	61

Journal Rank

Year	Value
2024	7294

Journal Citation Indicator

Year	Value
2024	313

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• ILUT: A dual threshold incomplete LU factorization

  Citation: 506

  Authors: Yousef

• Modulus-based matrix splitting iteration methods for linear complementarity problems

  Citation: 327

  Authors: Zhong-Zhi

• Recent computational developments in Krylov subspace methods for linear systems

  Citation: 255

  Authors: Valeria, Daniel B.

• A scalable dual-primal domain decomposition method

  Citation: 236

  Authors: Charbel, Michael, Kendall

• Fast algorithms for hierarchically semiseparable matrices

  Citation: 229

  Authors: Jianlin, Shivkumar, Ming, Xiaoye S.

• Numerical solution of large‐scale Lyapunov equations, Riccati equations, and linear‐quadratic optimal control problems

  Citation: 225

  Authors: Peter, Jing‐Rebecca, Thilo

• Two classes of multisecant methods for nonlinear acceleration

  Citation: 221

  Authors: Haw‐ren, Yousef

• Preconditioning discretizations of systems of partial differential equations

  Citation: 211

  Authors: Kent-Andre, Ragnar

• GMRESR: a family of nested GMRES methods

  Citation: 199

  Authors: H. A., C.

• A survey of spectral factorization methods

  Citation: 196

  Authors: A. H., T.

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