Numerical Analysis and Matrix Computations: Theory and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 4257
Special Issue Editor
Special Issue Information
Dear Colleagues,
The area of numerical matrix computations is a field of intensive research and important applications. Matrix computations are used in almost all sciences and engineering including disciplines such as quantum information, mathematical biology, seismology, data science, dynamical systems, control theory, signal and image processing, geometrical modeling, network theory, and many others.
The journal Mathematics plans to publish a Special Issue devoted to numerical analysis and matrix computations. Prospective authors from different fields of science are invited to share their state-of-the-art research results, present application experience, exchange new ideas, and discuss future developments in the area of numerical matrix computations.
The list of topics covered by the Special Issue includes but is not restricted to the following subjects:
- Perturbation analysis of matrix problems;
- Ill-conditioned matrix problems and their regularization;
- Matrices depending on parameters;
- Eigenvalue and eigenspaces sensitivity;
- Computations related to matrix pencils and matrix polynomials;
- Eigenvalue computations;
- Jordan and Schur algorithms in matrix computations;
- Numerical solution of matrix equations and linear matrix inequalities;
- Computing matrix functions;
- Numerical matrix methods for solving difference and differential equations;
- Software for matrix computations;
- Numerical computations in engineering problems, etc.
Prof. Dr. Petko Petkov
Guest Editor
Manuscript Submission Information
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Keywords
- Matrix computations
- Matrix decomposition
- Matrix problems
- Eigenvalue problems
- Matrix factorization
- Singular value decomposition
- Riccati equation
- Dynamic mode decomposition
- Linear quadratic Gaussian control
- Numerical linear algebra
- Numerical analysis
- Applications in engineering, mechanics, biology, signal processing, etc.