© 2014

Managing Complexity, Reducing Perplexity

Modeling Biological Systems

  • Marcello Delitala
  • Giulia Ajmone Marsan
Conference proceedings

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 67)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Thomas Hillen, Mark A. Lewis
    Pages 1-13
  3. Dumitru Trucu, Mark A. J. Chaplain
    Pages 45-53
  4. J. Calvo, J. Soler, M. Verbeni
    Pages 55-63
  5. Anne Dell, Federico Sastre
    Pages 65-70
  6. Elena Agliari, Adriano Barra, Silvio Franz, Thiago Pentado-Sabetta
    Pages 71-79
  7. Heinrich Freistühler, Jan Fuhrmann, Angela Stevens
    Pages 91-99
  8. Jude D. Kong, Sreedhar S. Kumar, Pasquale Palumbo
    Pages 109-117
  9. David Sherrington
    Pages 119-129
  10. Marcello Delitala, Thomas Hillen
    Pages 131-133

About these proceedings


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.

Editors and affiliations

  • Marcello Delitala
    • 1
  • Giulia Ajmone Marsan
    • 2
  1. 1.Department of Mathematical SciencesPolitecnico di TorinoTorinoItaly
  2. 2.OECDParisFrance

Bibliographic information

  • Book Title Managing Complexity, Reducing Perplexity
  • Book Subtitle Modeling Biological Systems
  • Editors Marcello Delitala
    Giulia Ajmone Marsan
  • Series Title Springer Proceedings in Mathematics & Statistics
  • Series Abbreviated Title Springer Proceedings in Mathematics & Statistics
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Hardcover ISBN 978-3-319-03758-5
  • Softcover ISBN 978-3-319-35200-8
  • eBook ISBN 978-3-319-03759-2
  • Series ISSN 2194-1009
  • Series E-ISSN 2194-1017
  • Edition Number 1
  • Number of Pages XVIII, 133
  • Number of Illustrations 14 b/w illustrations, 19 illustrations in colour
  • Topics Mathematical and Computational Biology
  • Buy this book on publisher's site