Managing Complexity, Reducing Perplexity Modeling Biological Systems /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Delitala, Marcello (Επιμελητής έκδοσης), Ajmone Marsan, Giulia (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Springer Proceedings in Mathematics & Statistics, 67
• Θέματα: Mathematics.; Biomathematics.; Mathematical and Computational Biology.
• Φυσική περιγραφή: XVIII, 133 p. 33 illus., 19 illus. in color. online resource.
• ISBN: 9783319037592
• ISSN: 2194-1009 ;

This book is devoted to an overview of the status of the art in the study of complex systems, with particular focus on the analysis of systems pertaining to living matter. Both senior scientists and young researchers from diverse and prestigious institutions with a deliberately interdisciplinary cut were invited, in order to compare approaches and problems from different disciplines. The common aim of the contributions is to analyze the complexity of living systems by means of new mathematical paradigms that are more adherent to reality and which are able to generate both exploratory and predictive models that are capable of achieving a deeper insight into life science phenomena.