SinoXiv
应用数学
Journal of AppliedMath
Journal Type:
国际期刊
Language:
英文刊
Category:
数学
Publish Cycle:
双月刊
Review Cycle:
7个工作日
Publish Model:
开放获取（OA）
Publish Country:
新加坡
Char/Page Requirement:
3版（5000字符）
E-ISSN:
eISSN: 2972-4805
Journal Introduction
Journal of AppliedMath (JAM) is an international, peer-reviewed open access journal that focuses on the application of mathematical principles to real-world problems. We are dedicated to publishing high-quality research that advances the understanding and application of mathematics across various disciplines. The scope of JAM is broad and inclusive, covering a range of topics that reflect the diverse and interdisciplinary nature of applied mathematics. Our aim is to provide a platform for researchers to share their findings and promote collaboration in the field.
Topics
Key Areas of Interest:
1. Dynamical Systems: We welcome research on the study of systems that evolve over time, including the analysis of stability, bifurcations, chaos, and the development of models for complex dynamical behaviors.
2. Mathematical Biology: JAM is interested in papers that apply mathematical techniques to biological problems, such as population dynamics, epidemiology, genetics, and systems biology.
3. Mathematical Finance: We encourage submissions that use mathematical models to analyze financial markets, risk assessment, option pricing, and other aspects of financial engineering.
4. Mathematical Physics: Research that applies mathematical methods to solve problems in physics, including quantum mechanics, general relativity, and condensed matter physics, is within our scope.
5. Mathematics of Computation and Data Science: JAM seeks to publish work on algorithms, computational complexity, machine learning, and the mathematical foundations of data analysis and big data.
6. Numerical Analysis and Scientific Computation: We are interested in research that develops and analyzes numerical methods for solving mathematical problems, including but not limited to partial differential equations, integral equations, and optimization problems.
7. Optimization: JAM welcomes research on the theory and application of optimization techniques, including linear programming, nonlinear programming, and multi-objective optimization.
8. Statistical and Computational Physics: We encourage submissions that focus on the statistical aspects of physical systems, computational methods in physics, and the development of computational models for physical phenomena.
9. Statistics and Probability: Research on statistical theory, methods, and applications, as well as probability theory and stochastic processes, falls within the scope of JAM.
Editorial Board
No editorial board information available.
