Special Issue "Numerical Analysis and Advanced Applications"
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1623
Interests: fractional calculus; numerical analysis; mathematical biology; mathematical physics
Interests: spectral properties of non-self-adjoint operators; evolution equations in the abstract Hilbert space; abstract fractional calculus; operator equations in Banach spaces; mapping theorems for operators acting in Banach spaces
This Special Issue aims to consider original papers in all fields of classical and modern analysis, with a focus on work that addresses significant problems in pure and applied nonlinear analysis. The main focus of this issue on “Applied Numerical Analysis” is the advance and dissemination of mathematical knowledge through high-quality papers that describe and analyze different fields of analysis, as well as their applications. The aim of this Special Issue is to publish the best research articles related to applied analysis within the scope, boosting cooperation with applications in other areas of mathematics, physics, biology, engineering, and economics. The Special Issue covers all areas of classical and modern mathematical analysis, including boundary value problems, differential equations and inclusions, function spaces, operator theory, approximations and expansions, calculus of variations and optimal control, dynamic systems, difference and functional equations, convex, functional and harmonic analysis, measure and integration, special functions, function theory in one and several variables and on infinite dimensional spaces, topological and metric spaces, numerical analysis, the theory of non-self-adjoint operators, the theory of the abstract evolution equations as well as their applications. Current research results containing new and significant ideas, as well as selected high-quality survey articles, are expected to appear.
Dr. Chang Phang
Dr. Maksim Kukushkin
Manuscript Submission Information
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- application of numerical analysis in engineering and sciences
- numerical methods for ODEs, PDEs, FDEs
- numerical differentiation and integration
- approximate theory
- stability and convergence of numerical methods
- numerical methods for evolution equations in the abstract hilbert space