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Mathematical Modeling and Control in Life and Environmental Sciences

Name: Mathematical Modeling and Control in Life and Environmental Sciences
Brand: Springer International Publishing
SKU: 48869465
Price: 144.31 EUR
Availability: InStock
Author: Simone Scacchi
ISBN: 9783031499739

Simone Scacchi

Vincenzo Capasso

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 48869465

Nakladateľstvo Springer International Publishing, máj 2025

This monograph explores the use of mathematical modeling and control theory in a variety of contempo... Celý popis

Libristo kód: 48869465

349 b

144.31 €

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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.