Complexity in Chemistry, Biology, and Ecology

This book, written by an international team of experts, introduces the reader to various aspects of complexity theory and its applications. It illustrates the latest trends in science to go beyond the mechanistic Newtonian view of the world by shifting the focus to self-organization, adaptation, and...

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書誌詳細
第一著者: Bonchev, Danail D.
その他の著者: Rouvray, Dennis (編集者), Bonchev, Danail, 1937- (出版デイレクター), Rouvray, Dennis H. (出版デイレクター)
フォーマット: Livre numérique
言語:Anglais
出版事項: New York, NY : Springer US [20..].
Cham : Springer Nature
版:1st ed. 2005.
シリーズ:Mathematical and Computational Chemistry
オンライン・アクセス:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
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注記: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Complexity in chemistry, biology, and ecology, edited by Danail Bonchev,... and Dennis H. Rouvray,..., New York, Springer, 2005, 1 vol. (XX, 344 p.), Mathematical and computational chemistry, 0-387-23264-8
• Complexity in Chemistry, Biology, and Ecology, Texte imprimé, 9780387502731
• Complexity in Chemistry, Biology, and Ecology, Texte imprimé, 9781441935922
• Complexity in chemistry, biology, and ecology, edited by Danail Bonchev,... and Dennis H. Rouvray,..., New York, Springer, 2005, 1 vol. (XX, 344 p.), Mathematical and computational chemistry, 0-387-23264-8
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505 1 |a On the Complexity of Fullerenes and Nanotubes Complexity and Self-Organization in Biological Development and Evolution The Circle That Never Ends: Can Complexity be Made Simple? Graphs as Models of Large-Scale Biochemical Organization Quantitative Measures of Network Complexity Cellular Automata Models of Complex Biochemical Systems The Complex Nature of Ecodynamics 
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520 |a This book, written by an international team of experts, introduces the reader to various aspects of complexity theory and its applications. It illustrates the latest trends in science to go beyond the mechanistic Newtonian view of the world by shifting the focus to self-organization, adaptation, and emergent phenomena. The authors discuss these properties of complex systems in biology, ecology and chemistry along with the structure and interconnectedness of the "layers" of complexity. The qualitative description is complemented by a discussion of methods for complexity quantification. Networks are covered in detail as a universal language of the complex world. General readers, as well as undergraduate and graduate students and researchers in life sciences, chemistry, and nanotechnology will find this book to be of great interest 
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