Advances in Mathematical Models for Renewable Resources and Population Dynamics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 26 August 2026 | Viewed by 452
Special Issue Editor
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to gather original contributions and reviews on the development and application of mathematical models to sustainable development challenges. The focus will be on both theoretical advances and practical applications, with an emphasis on renewable resource management, population dynamics, and epidemic control. This Special Issue fits within the scope of Mathematics, as it highlights both pure and applied mathematical approaches that contribute to solving real-world problems. We expect the collection to stimulate interdisciplinary exchanges between mathematicians, ecologists, epidemiologists, and engineers, fostering a broader understanding of sustainability through mathematics.
Prof. Dr. Ali Moussaoui
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- mathematical modeling
- sustainable development
- renewable resources
- fisheries management
- population dynamics
- epidemic modeling
- control theory
- optimization
- numerical methods
- applied mathematics
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