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LEADER 00000cam a2200625Mi 4500 
001    on1175763608 
003    OCoLC 
005    20200807180357.7 
006    m     o  d         
007    cr cn||||||||| 
008    140917s2014    onc     ob    000 0 eng d 
016    |z20149065663 (print) 
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020    9780776621685|qpdf 
020    0776621688 
020    9780776621678|qepub 
020    077662167X 
020    9780776622101|q(paperback) 
020    0776622102|q(paperback) 
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090    QA63 
245 00 Mathematical modelling of zombies /|cedited by Robert 
       Smith? 
264  1 Ottawa [Ontario] :|bUniversity of Ottawa Press,|c2014. 
300    1 online resource 
336    text|2rdacontent 
337    computer|2rdamedia 
338    online resource|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
504    Includes bibliographical references. 
505 0  Foreword: I Ran with a Zombie / Andrew Cartmel -- 
       Introduction: What can zombies teach us about mathematics 
       / Robert Smith -- The Viral Spread of a Zombie Media Story
       / Robert Smith -- The Undead: A Plague on Humanity or a 
       Powerful New Tool for Epidemiological Research? / Jane M. 
       Heffernan and Derek J. Wilson -- When Zombies Attack! 
       Alternate Ending / Phil Munz -- When Humans Strike Back! 
       Adaptive Strategies for Zombie Attacks Bard Ermentrout and
       Kyle Ermentrout -- Increasing Survivability in a Zombie 
       Epidemic / Ben Tippett -- How Long Can We Survive? / 
       Thomas E. Woolley, Ruth E. Baker, Eamonn A. Gaffney and 
       Philip K. Maini -- Demographics of Zombies in the United 
       States / Daniel Zelterman -- Is It Safe to Go Out Yet? 
       Statistical Inference in a Zombie Outbreak Model / Ben 
       Calderhead, Mark Girolami and Desmond J. Higham -- The 
       Social Zombie: Modelling Undead Outbreaks on Social 
       Networks / Laurent Hébert-Dufresne, Vincent Marceau, 
       Pierre-André e Noël, Antoine Allard and Louis J. Dubé -- 
       Zombie Infection Warning System Based on Fuzzy Decision-
       Making / Micael S. Couceiro, Carlos M. Figueiredo, J. 
       Miguel A. Luz and Michael J. Delorme -- Zombies in the 
       City: A NetLogo Model / Jennifer Badham and Judy-anne 
       Osborn -- An Evolvable Linear Representation for 
       Simulating Policy in Zombie Outbreaks / Daniel Ashlock, 
       Joseph Alexander Brown and Clinton Innes -- Baneling 
       Dynamics in Legend of the Seeker / Gergely Röst -- The 
       Zombie Swarm: Epidemics in the Presence of Social 
       Attraction and Repulsion / Evelyn Sander and Chad M. Topaz
       -- Conclusion / Robert Smith -- Afterword / Robert Smith. 
520    Engages the imagination to illustrate the power of 
       mathematical modelling. This book brings together a highly
       skilled team of contributors to fend off a zombie 
       uprising. It helps you to learn how modelling can advise 
       government policy, and how theoretical results can be 
       communicated to a nonmathematical audience. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Zombies|0https://id.loc.gov/authorities/subjects/
       sh99001600|xMathematical models.|0https://id.loc.gov/
       authorities/subjects/sh2002007921 
650  7 Zombies.|2fast|0https://id.worldcat.org/fast/1184595 
650  7 Mathematical models.|2fast|0https://id.worldcat.org/fast/
       1012085 
655  0 Electronic books. 
700 1  Smith?, Stacey,|d1972-|0https://id.loc.gov/authorities/
       names/no2012004813|eeditor. 
730 0  Scholars Portal books. ACUP/APUC eBound.|5CaBVaS 
776 08 |iPrint version|z9780776622101 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=916067|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20200810|cEBSCO|tEBSCOebooksacademic MERGES 887|lridw 
948    |d20160607|cEBSCO|tebscoebooksacademic|lridw 
994    92|bRID