About the Journal

About the Journal

Editor-in-Chief:  Svetlin G. Georgiev
Abbreviated key title: Math. Struct. Comput. Model. 
ISSN (online): 3083-1733
Published by: Open Horizon Global
Periodicity: One Volume per year - Open Access

 

Mathematical Structures and Computational Modeling (MSCM) is an international, peer-reviewed, open-access journal dedicated to original research and review articles in mathematical theory, mathematical structures, computational methods, and their applications to complex scientific and real-world problems. The Journal welcomes theoretical, analytical, numerical, and computational studies that advance mathematical modeling and its applications.

Scope of the Journal

The Journal covers, but is not limited to, the following areas:

Mathematical Structures and Analysis: Iso-mathematics and generalizations; algebraic, geometric, topological, quaternionic and Clifford structures; Lie algebras, symmetries and transformations; Time Scales Calculus and Analysis; fixed point theory; convex, nonlinear, variational and set-valued analysis.

Geometry: Absolute, affine, algebraic, analytic, birational, complex, combinatorial, computational, conformal, differential, and dynamic geometry on time scales.

Differential and Integral Equations: Ordinary and partial differential equations; stochastic, fractional and dynamic equations; linear, nonlinear, Fredholm, Volterra and singular integral equations; eigenvalue problems.

Dynamical Systems and Mathematical Modeling: Analytical, qualitative and numerical analysis of dynamical systems; mathematical modeling of natural, physical, biological, engineering and socio-economic systems; real-world applications.

Computational Mathematics: Numerical analysis and computation; computational modeling and simulation; algorithm development; numerical schemes; optimization and computational methods for complex mathematical problems.

Optimization and Control: Optimization theory and methods; control theory; nonlinear analysis; computational optimization; applications to differential equations and dynamical systems.

Interdisciplinary and Emerging Applications: Artificial intelligence, machine learning, data science, cryptography, complex networks, signal processing, quantum mechanics, theoretical physics, engineering, and social and behavioral sciences.

The Journal particularly welcomes studies that develop new mathematical structures, analytical techniques, computational methods, or mathematical models with significant theoretical, computational, or practical applications.

Target Readership

MSCM is intended for a broad interdisciplinary readership, including researchers, academics, practitioners, professionals, and graduate students in pure and applied mathematics, mathematical modeling, computational science, statistics, computer science, engineering, physics, natural and life sciences, data science, and other disciplines that develop, apply, or benefit from mathematical and computational approaches to scientific and real-world problems.