05202nam a22006255i 4500 978-3-031-49971-5 DE-He213 20251030112017.0 cr nn 008mamaa 240429s2024 sz | s |||| 0|eng d 9783031499715 978-3-031-49971-5 10.1007/978-3-031-49971-5 doi TA342-343 PBWH bicssc TBJ bicssc MAT003000 bisacsh PBWH thema TBJ thema Aniţa, Sebastian. author. aut http://id.loc.gov/vocabulary/relators/aut 75976 Mathematical Modeling and Control in Life and Environmental Sciences [electronic resource] : Regional Control Problems / by Sebastian Aniţa, Vincenzo Capasso, Simone Scacchi. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Birkhäuser, 2024. XVI, 277 p. 50 illus., 43 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Modeling and Simulation in Science, Engineering and Technology, 2164-3725 Part I: Regional Control of Spatially Structured Epidemics -- Regional Control for a Class of Spatially Structured Epidemics -- Controlling the Spread of a Vector-Borne Epidemic: The Case of Malaria -- Part II: Optimal Harvesting -- Optimal Harvesting: Space Dependence -- Optimal Harvesting: Age Dependence -- Part III: Controlling Epidemics in Agriculture -- Controlling Xyllela fastidiosa -- Controlling an Epidemic in Agriculture by Predators -- Part IV: Controlling Environmental Pollution in Geographical Economics -- Appendix A: Special Topics for Integro-Differential Equations -- Appendix B: Essentials of Numerical Methods. This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences. Emphasizing an approach of learning by doing, the authors focus on a set of significant case studies emerging from real-world problems and illustrate how mathematical techniques and computational experiments can be employed in the search for sustainable solutions. The following topics are extensively discussed: Eradicability and control of a paradigmatic epidemic model, with a view to the existence of endemic states, their stability, and the existence of travelling waves A spatially structured epidemic model concerning malaria as an example of vector-borne epidemics Optimal harvesting problems for space-structured and age-structured population dynamics Controlling epidemics in agriculture due to pest insects The role of predators as a possible biocontrol agent of epidemics in agriculture Control by taxation of the environmental pollution produced by human activities The originality of this text is in its leitmotif – regional control – along the principle of “Think Globally, Act Locally.” Indeed, for example, in many real spatially structured ecosystems, it is practically impossible to control the relevant system by global interventions in the whole habitat. Proofs are given whenever they may serve as a guide to the introduction of new concepts. Each chapter includes a comprehensive description of the numerical methods used for the computational experiments, and MATLAB© codes for many of the numerical simulations are available for download. Several challenging open problems are also provided to stimulate future research. This text is aimed at mathematicians, engineers, and other scientists working in areas such as biology, medicine, and economics. Graduate and advanced undergraduate students of a quantitative subject related to the analysis and applications of dynamical systems and their control will also find it to be a valuable resource. Mathematical models. 66910 Biomathematics. 70325 System theory. 66519 Control theory. 68675 Dynamical systems. Mathematical Modeling and Industrial Mathematics. 66912 Mathematical and Computational Biology. 70327 Systems Theory, Control. 68676 Dynamical Systems. Capasso, Vincenzo. author. aut http://id.loc.gov/vocabulary/relators/aut 75977 Scacchi, Simone. author. aut http://id.loc.gov/vocabulary/relators/aut 75978 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031499708 Printed edition: 9783031499722 Printed edition: 9783031499739 Modeling and Simulation in Science, Engineering and Technology, 2164-3725 75979 https://doi.org/10.1007/978-3-031-49971-5 ZDB-2-SMA ZDB-2-SXMS 59480 59480