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Mathematical Modelling of Zombies by Robert Smith? (2014, Trade Paperback)
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About this product
Product Identifiers
PublisherUniversity of Ottawa Press/Les Presses DE L'universite D'ottawa
ISBN-100776622102
ISBN-139780776622101
eBay Product ID (ePID)240129423
Product Key Features
Number of Pages468 Pages
LanguageEnglish
Publication NameMathematical Modelling of Zombies
SubjectDifferential Equations / General, Folklore & Mythology, Applied, Probability & Statistics / Bayesian Analysis
Publication Year2014
TypeTextbook
AuthorRobert Smith?
Subject AreaMathematics, Social Science
FormatTrade Paperback
Dimensions
Item Height0.6 in
Item Weight25 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Intended AudienceTrade
LCCN2016-387544
Dewey Edition23
IllustratedYes
Dewey Decimal398.2101/51
Table Of Contentdl {padding-left: 20px; margin: 0;}ol {margin:0; padding-left: 40px;}.contributor {padding-left: 20px; font-style:italic;}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 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 Is There a Zombicidal Maniac Near You? You'd Better Hope So! Nick Beeton, Alex Hoare and Brody Walker Zombies in the City: A NetLogo Model Jennifer Badham and Judy-Anne Osborn An Evolvable Linear Representation for Simulating Government 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? Contributors Afterword
SynopsisYou're outnumbered, in fear for your life, surrounded by flesheating zombies. What can save you now? Mathematics, of course. Mathematical Modelling of Zombies engages the imagination to illustrate the power of mathematical modelling. Using zombies as a "hook," you'll learn how mathematics can predict the unpredictable. In order to be prepared for the apocalypse, you'll need mathematical models, differential equations, statistical estimations, discretetime models, and adaptive strategies for zombie attacks--as well as baseball bats and Dire Straits records (latter two items not included). In Mathematical Modelling of Zombies , Robert Smith? brings together a highly skilled team of contributors to fend off a zombie uprising. You'll also learn how modelling can advise government policy, how theoretical results can be communicated to a nonmathematical audience and how models can be formulated with only limited information. A forward by Andrew Cartmel--former script editor of Doctor Who , author, zombie fan and all-round famous person in science-fiction circles--even provides a genealogy of the undead. By understanding how to combat zombies, readers will be introduced to a wide variety of modelling techniques that are applicable to other real-world issues (biology, epidemiology, medicine, public health, etc.). So if the zombies turn up, reach for this book. The future of the human race may depend on it., In this terrible new COVID-19 world, the University of Ottawa is doing its part by offering a 50% discount on this very important book. We decided not to rewrite the witty book description, though we realize it is tone-deaf at the present moment, as we wanted to give readers a sense of the tone of this title. But don't be deceived: while a fun read, this book will help you better understand how epidemiologists, governments and health care planners use mathematical models to figure out how quickly epidemics and pandemics spread, in order to plan appropriately. Reading has perhaps never been as important, and this book should be at the top of your reading list. You're outnumbered, in fear for your life, surrounded by flesh-eating zombies. What can save you now? Mathematics, of course. Mathematical Modelling of Zombies engages the imagination to illustrate the power of mathematical modelling. Using zombies as a "hook," you'll learn how mathematics can predict the unpredictable. In order to be prepared for the apocalypse, you'll need mathematical models, differential equations, statistical estimations, discrete time models, and adaptive strategies for zombie attacks--as well as baseball bats and Dire Straits records (latter two items not included).In Mathematical Modelling of Zombies, Robert Smith? brings together a highly skilled team of contributors to fend off a zombie uprising. You'll also learn how modelling can advise government policy, how theoretical results can be communicated to a nonmathematical audience and how models can be formulated with only limited information. A forward by Andrew Cartmel--former script editor of Doctor Who, author, zombie fan and all-round famous person in science-fiction circles--even provides a genealogy of the undead. By understanding how to combat zombies, readers will be introduced to a wide variety of modelling techniques that are applicable to other real-world issues (biology, epidemiology, medicine, public health, etc.). So if the zombies turn up, reach for this book. The future of the human race may depend on it. Published in English.
LC Classification NumberGR581.M38 2014
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