Viability Theory (eBook)

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Artikelnummer: 978-3-642-16684-6
Einband: PDF
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Viability theory designs and develops mathematical and algorithmic methods for investigating the adaptation to viability constraints of evolutions governed by complex systems under uncertainty that are found in many domains involving living beings, from biological evolution to economics, from environmental sciences to financial markets, from control theory and robotics to cognitive sciences. It involves interdisciplinary investigations spanning fields that have traditionally developed in isolation. The purpose of this book is to present an initiation to applications of viability theory, explaining and motivating the main concepts and  illustrating them with numerous numerical examples taken from various fields.
Viability theory designs and develops mathematical and algorithmic methods for investigating the adaptation to viability constraints of evolutions governed by complex systems under uncertainty that are found in many domains involving living beings, from biological evolution to economics, from environmental sciences to financial markets, from control theory and robotics to cognitive sciences. It involves interdisciplinary investigations spanning fields that have traditionally developed in isolation. The purpose of this book is to present an initiation to applications of viability theory, explaining and motivating the main concepts and  illustrating them with numerous numerical examples taken from various fields.
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VerlagSpringer Berlin Heidelberg
EinbandPDF
Erscheinungsjahr2011
Seitenangabe803 S.
AusgabekennzeichenEnglisch
AbbildungenXXI, 830 p. 141 illus., 20 illus. in color.
Masse13'861 KB
Auflage11002 A. 2nd ed. 2011
PlattformPDF
ReiheMathematics and Statistics; Mathematics and Statistics
AutorAubin, Jean-Pierre / Bayen, Alexandre M. / Saint-Pierre, Patrick

Alle Bände der Reihe "Mathematics and Statistics; Mathematics and Statistics (R0)"

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