STRATI Journal of Mathematics and Computational Sciences

The journal aims to:

• Promote high-quality research in both theoretical and applied mathematics as well as computational sciences.
• Facilitate dissemination of novel mathematical methods, algorithms, and computational models.
• Support interdisciplinary studies that leverage mathematics and computation for solving real-world problems.
• Encourage development and application of numerical methods, simulations, and data-driven approaches.
• Provide a forum for collaboration among academia, industry, and research institutions in mathematical and computational fields.

The scope includes but is not limited to:

• Pure mathematics including algebra, analysis, geometry, and topology.
• Applied mathematics including differential equations, optimization, and mathematical modeling.
• Numerical analysis and scientific computing.
• Computational algorithms and complexity theory.
• Data science, machine learning, and statistical computing.
• Computational physics, chemistry, and biology.
• High-performance computing and parallel algorithms.
• Mathematical finance and economics modeling.

Detailed Themes

The journal welcomes manuscripts on a wide range of topics including but not limited to:

Pure Mathematics

• Algebraic structures and number theory
• Functional analysis and operator theory
• Differential geometry and topology
• Mathematical logic and foundations

Applied Mathematics

• Ordinary and partial differential equations
• Optimization theory and control
• Mathematical modeling of physical and biological systems
• Calculus of variations and integral equations

Numerical Analysis and Scientific Computing

• Numerical solutions of differential equations
• Approximation theory and computational methods
• Error analysis and stability of algorithms
• Computational linear algebra and matrix computations

Computational Algorithms and Complexity

• Algorithm design and analysis
• Computational complexity and theory of computation
• Graph algorithms and combinatorial optimization
• Cryptography and information security algorithms

Data Science and Machine Learning

• Statistical methods and inference
• Machine learning algorithms and applications
• Big data analytics and visualization
• Bayesian methods and probabilistic modeling

Computational Sciences

• Simulation techniques in physics, chemistry, and biology
• Multiscale and multiphysics modeling
• Computational fluid dynamics (CFD)
• High-performance and parallel computing

Mathematical Finance and Economics

• Stochastic processes and financial modeling
• Quantitative risk management
• Econometric modeling and time series analysis
• Game theory and decision sciences

Send your paper to Email: strat.institute@gmail.com