Scope of the Journal
The scope of the journal encompasses, but is not limited to, the following key areas:
- Applied Mathematics: Development and application of
mathematical models, algorithms, and computational techniques to solve
problems in diverse fields such as physics, engineering, biology,
economics, and social sciences.
- Statistical Modeling: Contributions to the design,
application of statistical models, including multivariate analysis,
regression analysis, time series analysis, and experimental design,
among others.
- Interdisciplinary Applications: Research that
applies mathematical and statistical methods to address complex problems
in interdisciplinary areas, including but not limited to finance,
healthcare, environmental science, and information technology.
- Numerical Analysis: Investigations into numerical methods and algorithms for solving mathematical problems and simulating real-world phenomena.
- Optimization Techniques: Research on the
development and application of optimization techniques to improve
decision-making processes and resource allocation in various domains.
- Data Science and Big Data Analytics: Contributions
to the extraction of meaningful insights from large and complex
datasets, including data preprocessing, machine learning, and data
visualization.
- Probability Theory: Studies on probability theory, applications in modeling uncertainties and risk assessment in different contexts.
- Mathematical Biology: Application of mathematical
models and statistical methods to address problems in biology, ecology,
epidemiology, and other life sciences.
- Time Series Analysis: Research on the analysis and
forecasting of time-dependent data, with applications in economics,
finance, climate science, and other fields.
Indexing Information: Index Copernicus International, ISA, Google Scholar, DRJI, ESJI, Jour informatics, SIS, BASE, IFSIJ, JSTOR, Infobase index, OAJI.
