Special Issue: Numerical Simulation and Mathematical Modelling
Guest Editors
Prof. Carlo Cattani
Engineering School, DEIM, University of Tuscia, P.le dell’Università, 01100 Viterbo, Italy
Email: cattani@unitus.it
Prof. Junying Cao
School of Data Science and Information Engineering, Guizhou Minzu University, 550025 Guiyang, China
Email: caojunying@gzmu.edu.cn
Dr. Zhao-Li Shen
College of Science, Sichuan Agricultural University, Ya’an, Sichuan 625000, PR China
Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, AK Groningen 9700, The Netherlands
Email: szlxiaoyao@163.com
Manuscript Topics
This special issue is focusing on the modern approach for modelling mathematical problems by using numerical methods and suitable computer simulations. Because of the complexity of some mathematical problems, some problems don’t have analytical solutions, some problems are solved by some infinite series and some others do not have any solution but can be characterized by a suitable computer simulation. In fact, the interpretation and modellization both of the numerical approximations or the featuring parameters might lead to a better comprehension to the results of a problem. Thus, a suitable theoretical model should be compared and tested with some computer simulations and numerical analysis of data. To this aim, prospective authors are solicited to submit original papers mainly dealing, but not limited, to the following topics:
• Integer or fractional order dynamical systems.
• Image analysis.
• Data analysis.
• Numerical methods and computer simulation for the solution of integer or fractional order differential problems.
• Numerical methods and computer simulation for the solution of integer or fractional order integral problems.
• Fractals.
• Numerical methods and computer simulation for the solution of stochastic problems.
Instructions for authors
https://www.aimspress.com/nhm/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/