Academic Journal of Mathematical Sciences (AJMS)
Academic Journal of Mathematical Sciences (AJMS) is a journal dedicated to promoting and accelerating the dissemination of new research findings. There is a vast array of exciting research activities in this field worldwide. The journal aims to provide academicians and scientists around the globe with a platform to share, promote, and discuss various emerging issues and developments in different areas of mathematical sciences.
Aims & Scope
Academic Journal of Mathematical Sciences (AJMS) is a journal dedicated to promoting and accelerating the dissemination of new research findings. There is a vast array of exciting research activities in this field worldwide. The journal aims to provide academicians and scientists around the globe with a platform to share, promote, and discuss various emerging issues and developments in different areas of mathematical sciences.
Aims
- To promote and accelerate the dissemination of new research findings across the fields of mathematical sciences globally.
- To provide academicians and scientists worldwide with a platform to share, promote, and discuss emerging issues and developments in all areas of mathematical sciences.
- To foster academic exchange, collaboration, and innovation in interdisciplinary research addressing theoretical mathematics, applied modeling, and computational methods.
- To advance knowledge and practical understanding of mathematical principles, analytical frameworks, and solutions through rigorous scholarly publication.
Scope
The journal covers a wide range of topics related to mathematical sciences, including but not limited to:
Pure and Theoretical Mathematics
- Algebra and number theory, including abstract algebra, group theory, ring theory, and number-theoretic problems
- Analysis and topology, including real/complex analysis, functional analysis, differential equations, and topological spaces
- Geometry and combinatorics, including differential geometry, algebraic geometry, graph theory, and combinatorial optimization
- Mathematical logic and foundations, including set theory, proof theory, model theory, and computability
Applied and Computational Mathematics
- Numerical analysis and scientific computing, including numerical methods, finite element analysis, and high-performance computing
- Probability and statistics, including stochastic processes, probability theory, statistical inference, and machine learning foundations
- Operations research and optimization, including linear/nonlinear programming, game theory, and control theory
- Mathematical modeling and interdisciplinary applications, including mathematical physics, mathematical biology, and financial mathematics