Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.
| YEAR | Impact Factor |
|---|---|
| 2024-25 | 1.8 |
| 2023 | 1.8 |
| 2022 | 1.9 |
| 2021 | 1.286 |
MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS, 1387-3954, TAYLOR & FRANCIS INC, Computer Science,Engineering,Mathematics.