MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS

MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS

SCIE
  • 期刊ISSN:1387-3954
  • 研究方向:数学
  • 影响因子:0.862
  • SCI类别:SCIE
  • 是否OA:No
  • 出版地:UNITED STATES
  • 年文章数:34
  • 涉及的研究方向:数学-计算机:跨学科应用
http://mc.manuscriptcentral.com/mcmds
MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS简介 Magazine introduction
  • 英文简介

    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 simulationautomation of modellingqualitative and modular modellingdata-based and learning-based modellinguncertainties and the effects of modelling errors on system performanceapplication of modelling to complex real-world systems. Submissions are highly welcome which present: new modelling ideas comparison of models and modelling approaches theoretic aspects of modelling papers dealing with complex real-world applications, which present the purpose of the model and the process of model calibration and validation.Potential authors should note that the focus of MCMDS is on new modelling methods and/or new applications of modelling to complex real-world systems.

  • 中文简介

    动力系统数学与计算机建模(MCMDS)发表了高质量的国际研究报告,提出了与复杂(真实世界)动力系统相关的模型和子模型的推导、简化和验证的新思路和方法。该杂志汇集了在不同应用和/或理论领域工作的工程师和科学家,研究人员可以在此了解工程、环境系统和生物技术等领域的最新进展。由于MCMDS涵盖了广泛的应用领域,论文的目标读者不一定是特定应用领域的专家。MCMDS欢迎关于一系列主题的原创文章,包括:建模和仿真方法自动化造型定性和模块化建模基于数据和基于学习的建模不确定性和建模误差对系统性能的影响将建模应用于复杂的实际系统。欢迎提交下列文件:新造型的想法模型和建模方法的比较建模的理论方面论文涉及复杂的实际应用,介绍了模型的目的和模型的标定与验证过程。潜在的作者应该注意到,MCMDS的重点是新的建模方法和/或复杂现实系统建模的新应用。

  • 影响因子趋势图

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