Aim and Scope
Prospects for Applied Mathematics and Data Analysis (PAMDA) is an international peer-reviewed journal publishing original research and review articles in applied mathematics, statistical analysis, computational methods, and data-driven modeling.
The journal focuses on the development and application of rigorous mathematical, statistical, and computational techniques for solving theoretical and practical problems in science, engineering, technology, economics, finance, and other quantitative disciplines.
Topics of interest include, but are not limited to:
Applied and computational mathematics
Numerical analysis and scientific computing
Differential equations and dynamical systems
Mathematical modeling and simulation
Probability, statistics, and stochastic processes
Data analysis and statistical learning
Regression, forecasting, and time-series analysis
Optimization and operations research
Inverse problems and parameter estimation
Mathematical foundations of machine learning and artificial intelligence
Fuzzy, neutrosophic, soft, and uncertainty-based mathematical systems
Graph, network, and structured-data analysis
Financial, biological, and engineering mathematics
PAMDA particularly welcomes studies that connect mathematical theory with modern data analysis, including new models, algorithms, statistical methods, optimization techniques, and computational frameworks. Manuscripts involving machine learning or artificial intelligence should provide a clear mathematical, statistical, or methodological contribution rather than only applying existing tools.