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Resilience and Stability of Ecological and Social Systems (Hardcover, 1st ed. 2020): Istvan Karsai, Thomas Schmickl, George... Resilience and Stability of Ecological and Social Systems (Hardcover, 1st ed. 2020)
Istvan Karsai, Thomas Schmickl, George Kampis
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

This monograph, co-authored by three longtime collaborators, aims to promote the interdisciplinary field of mathematical biology by providing accessible new approaches to study natural systems. As there is currently scarce literature on the applications of mathematical modelling for biology research, this book presents a new way of studying interactions at the level of populations, societies, ecosystems, and biomes through open-sourced modeling platforms. It offers an interdisciplinary approach to analyzing natural phenomena-for example, by showing how master equations developed to describe electrical circuits can also describe biological systems mathematically. Ultimately it promotes a method of study based on modelling and mathematical principles, facilitating collaboration between mathematicians, biologists, engineers, and other researchers to enrich knowledge of the world's ecosystems.

Resilience and Stability of Ecological and Social Systems (Paperback, 1st ed. 2020): Istvan Karsai, Thomas Schmickl, George... Resilience and Stability of Ecological and Social Systems (Paperback, 1st ed. 2020)
Istvan Karsai, Thomas Schmickl, George Kampis
R1,487 Discovery Miles 14 870 Ships in 10 - 15 working days

This monograph, co-authored by three longtime collaborators, aims to promote the interdisciplinary field of mathematical biology by providing accessible new approaches to study natural systems. As there is currently scarce literature on the applications of mathematical modelling for biology research, this book presents a new way of studying interactions at the level of populations, societies, ecosystems, and biomes through open-sourced modeling platforms. It offers an interdisciplinary approach to analyzing natural phenomena-for example, by showing how master equations developed to describe electrical circuits can also describe biological systems mathematically. Ultimately it promotes a method of study based on modelling and mathematical principles, facilitating collaboration between mathematicians, biologists, engineers, and other researchers to enrich knowledge of the world's ecosystems.

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