Bulletin of Computational Applied Mathematics
Scope & Guideline
Bridging Theory and Application in Mathematics
Introduction
Aims and Scopes
- Applied Mathematics and Computational Techniques:
The journal emphasizes the development and application of computational methods in solving complex mathematical problems, particularly in engineering and natural sciences. - Differential Equations and Boundary Value Problems:
A significant focus is placed on the analysis and numerical solutions of differential equations, including both ordinary and partial differential equations, especially in boundary value problems. - Statistical and Data Analysis:
Research involving statistical methodologies and data analysis techniques is prevalent, with applications in various fields such as epidemiology, social sciences, and engineering. - Emerging Areas in Mathematical Research:
The journal also covers emerging mathematical theories such as neutrosophic logic, fractional calculus, and their applications in modeling complex systems. - Interdisciplinary Applications:
There is a consistent exploration of interdisciplinary applications of mathematics, particularly in urban studies, biology (predator-prey models), and physics (Klein-Gordon equations).
Trending and Emerging
- Artificial Intelligence and Data Visualization:
There is an increasing interest in integrating artificial intelligence with data visualization techniques, particularly in urban mobility studies, highlighting the relevance of computational methods in understanding complex datasets. - Fractional Calculus and Neutrosophic Logic:
Emerging concepts such as fractional calculus and neutrosophic logic are gaining traction, indicating a trend towards exploring new mathematical frameworks for modeling uncertainty and complexity. - Numerical Methods for Complex Systems:
The trend shows a rising focus on developing and analyzing numerical methods tailored for complex systems, including singularly perturbed problems and nonlinear equations. - Modeling with Delay Differential Equations:
Research involving delay differential equations is increasing, particularly in biological models, which reflects a growing recognition of the importance of time delays in dynamic systems. - Interdisciplinary Applications in Urban Studies:
The journal is increasingly publishing work that applies mathematical methods to urban studies, reflecting a trend towards addressing societal challenges through applied mathematics.
Declining or Waning
- Classical Statistical Methods:
There is a noticeable reduction in publications focusing on traditional statistical methods, potentially due to the rise of more advanced computational techniques and machine learning approaches. - Basic Algebraic Structures:
Research centered on fundamental algebraic concepts, such as basic fixed point theorems and elementary algebraic functions, seems to be less frequent, overshadowed by more complex and applied mathematical inquiries. - Purely Theoretical Mathematics:
The journal appears to be moving away from purely theoretical mathematical explorations, favoring studies with practical applications or computational aspects. - Descriptive Epidemiology Studies:
While some epidemiological studies were published during the COVID-19 pandemic, the focus on descriptive analysis without advanced modeling or predictive analytics is waning.
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