ACTA APPLICANDAE MATHEMATICAE
Scope & Guideline
Empowering Research in Contemporary Mathematical Challenges
Introduction
Aims and Scopes
- Applied Mathematical Models:
The journal focuses on the development and analysis of mathematical models that describe real-world phenomena, including biological, physical, and engineering systems. - Stochastic Processes and Control Theory:
There is a significant emphasis on stochastic models, including their control and optimization, reflecting the importance of randomness in applied mathematics. - Partial Differential Equations (PDEs):
A core area of research includes the study of various types of PDEs, particularly in the context of fluid dynamics, chemotaxis, and reaction-diffusion systems. - Numerical Methods and Algorithms:
The journal publishes work on numerical analysis, including the development of new algorithms for solving complex mathematical problems, particularly those arising in applied contexts. - Stability and Control in Dynamic Systems:
Research related to the stability of solutions to mathematical models, including control theory applications, is a frequent theme, highlighting the relevance of dynamical systems in applications. - Mathematical Biology:
The journal features studies that apply mathematical techniques to biological questions, such as epidemiological models and population dynamics.
Trending and Emerging
- Chemotaxis and Biological Modeling:
There is an increasing focus on chemotaxis models in biological contexts, particularly in understanding tumor growth and population dynamics, showcasing the intersection of biology and applied mathematics. - Stochastic Modeling and Analysis:
Stochastic models, particularly in relation to dynamic systems and control theory, are gaining traction, reflecting a broader interest in incorporating randomness into mathematical modeling. - Numerical Analysis and Computational Methods:
The emergence of advanced numerical methods for solving complex PDEs and other mathematical models is a trending area, highlighting the importance of computational techniques in applied mathematics. - Interdisciplinary Applications:
Research that bridges mathematics with other fields such as physics, engineering, and environmental science is increasingly prominent, reflecting the journal's commitment to interdisciplinary collaboration. - Nonlinear Dynamics and Stability Analysis:
An uptick in studies focused on nonlinear dynamics and their stability suggests a growing interest in understanding the behavior of complex systems under various conditions.
Declining or Waning
- Classical Theoretical Approaches:
There has been a noticeable decline in the publication of papers focusing solely on classical theoretical mathematics without direct applications, as the journal increasingly prioritizes applied perspectives. - Basic Mathematical Concepts:
Research that centers on fundamental mathematical concepts without substantial applications or novel methodologies appears less frequently, indicating a shift towards more applied research. - Static Models:
Static mathematical models are becoming less common in favor of dynamic models that better reflect the complexities of real-world systems, particularly in the context of time-dependent phenomena.
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