Numerical Methods for Scientific Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 948
Special Issue Editors
Interests: tensor/matrix analysis and computations; optimization; theory and algorithms; numerical analysis and scientific computing
Interests: computational and applied mathematics; numerical analysis; scientific computing; numerical solutions of partial differential equations; uncertainty quantification; fractional calculus; fractional/nonlocal differential equations; deep neural networks; high-dimensional computation
Special Issue Information
Dear Colleagues,
The Special Issue, “Numerical Methods for Scientific Computing”, focuses on the application and development of computational techniques for solving scientific problems and delves into various numerical methods employed in fields such as physics, engineering, mathematics, and more. The Special issue explores topics including numerical differential equations, numerical optimization, numerical linear algebra, numerical multilinear algebra, eigenvalue problems and nonlinear eigenvalue problems, and matrix and tensor approximation. The emphasis is placed on the theoretical foundations, algorithmic advancements, and practical applications of these numerical techniques. By addressing these areas, this Special Issue aims to contribute to the advancement of scientific computing and its interdisciplinary applications.
Prof. Dr. Ching-Sung Liu
Prof. Dr. Xiaobing Feng
Guest Editors
Manuscript Submission Information
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Keywords
- numerical methods
- numerical differential equations
- numerical optimization
- numerical linear algebra
- numerical multilinear algebra
- eigenvalue problems
- nonlinear eigenvalue problems
- matrix approximation
- tensor approximation
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