Complexity in Mathematical Biology for Sustainable Development
Modeling Climate, Disease, and Ecosystems through Difference, Differential, and Fractional Theory
Series: Advanced Studies in Complex Systems;
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65 226 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 August 2026
- ISBN 9780443452963
- Binding Paperback
- No. of pages250 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Complexity in Mathematical Biology for Sustainable Development: Modeling Climate, Disease, and Ecosystems through Difference, Differential, and Fractional Theory introduces new mathematical methods to derive complex modeling solutions for a wide range of engineering and scientific research applications. The book strikes a balance between high-level mathematical theory and technical derivations, offering step-by-step explanations, real-world case studies, and clear introductions to advanced mathematical models. Solutions include modeling and quantifying complexity, with emphasis placed on the growing need for interdisciplinary collaboration, the integration of real-time data into models, and the development of adaptive frameworks challenges such as pandemics, biodiversity loss, and climate uncertainty.
The book is designed to meet the needs of a diverse primary audience, from graduate students to professionals in fields such as computer science, public health, environmental policy, applied mathematics, and biotechnology. By providing both theoretical foundations and practical applications, the book equips readers with the skills and knowledge to tackle pressing global challenges through mathematical models, making it a valuable resource for both academic and professional development.
Table of Contents:
1. Introduction to Mathematical Biology
2. Difference Equations
3. Ordinary Differential Equations (ODEs)
4. Fractional-Order Differential Equations
5. Weighted Graphs, Networks, and Statistical Models
6. Mathematical Models in Ecosystems and Natural Systems
7. Human Health and Sustainable Development
8. Climate Change Models
9. Applications to Sustainable Development Goals (SDGs)
10. Applications and Future Perspectives of Mathematical Biology
11. Conclusion
