Editorial of the special issue on modelling, analysis, and applications-Reference-Cited by-同舟云学术

Editorial of the special issue on modelling, analysis, and applications

Published:2023-12-28 Issue: Volume: Page:
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Methods in App Sciences

Author:

Pinto Carla M. A.¹^ORCID,Zeidan Dia²^ORCID,Cortés‐Lopéz Juan Carlos³^ORCID,Tenreiro Machado J. A.⁴^ORCID

Affiliation:

1. Mathematics, School of Engineering Polytechnic of Porto & CMUP Porto Portugal

2. School of Basic Sciences and Humanities German Jordanian University Amman Jordan

3. Instituto Universitario de Matemática Multidisciplinar Universitat Politécnica de Valéncia Valencia Spain

4. Electrical Engineering School of Engineering, Polytechnic of Porto Porto Portugal

Abstract

This special issue of the Journal Mathematical Methods in the Applied Sciences on the topic of Modelling, Analysis, and Applications is devoted to the development of mathematical modelling, analysis, and applications, from theoretical and numerical perspectives, involving different applied sciences and engineering. It collects invited contributions, from selected quality full papers submitted to the International Conference on Mathematical Analysis and Applications in Science and Engineering (ICMA2SC2022). The conference took place in Porto, Portugal in 27–29 June 2022 (https://www.isep.ipp.pt/Page/ViewPage/ICMASC).

Funder

Centro de Matemática Universidade do Porto

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.9873

Reference42 articles.

1. New trends on mathematical modeling and simulation of biological systems

2. Modified SIQR model for the COVID‐19 outbreak in several countries

3. Localized kernel‐based meshless method for pricing financial options underlying fractal transmission system

4. Dynamics of COVID‐19 via singular and non‐singular fractional operators under real statistical observations

5. On exact integrability of a Covid‐19 model: SIRV