Special Issue "Modern Applications of Numerical Linear Algebra"
Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 3053
Interests: numerical linear algebra; structured matrices; matrix eigenvalue computation; nonlinear equations; polynomial rootfinding; data mining; image processing; inverse problems; operator theory; vibrational systems; evolutionary models
Matrix computations are ubiquitous in solving many modern applications, such as data clustering, signal processing, image analysis, problems on graphs, sparse data extraction, vibrational systems, as well as optimization and data mining problems involving huge matrices which lead to randomized algorithms, to name just a few.
Often there is a need to deal with more than one matrix, as in the analysis of vibrational systems with highly structured matrices, or with matrices over non-standard number fields like quaternions. In some cases, matrix problems are related to zeros of polynomials.
We invite you to submit your latest research in any of the areas related to applications of matrix computations including, but not limited to, the ones listed above.
The goal of this Special Issue is to present a plethora of interesting problem-oriented methods, preferably accompanied by their analysis with respect to perturbation theory and numerical stability.
Prof. Dr. Ivan Slapničar
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- linear algebra
- eigenvalue decomposition
- singular value decomposition
- matrix equations
- matrix pencils
- matrices of quaternions
- tensor computation
- least squares
- functions of matrices
- sparse matrices
- image processing
- ill-posed problems
- model reductions
- graph algorithms
- vibrational systems
- signal decomposition