National Science Library of Georgia

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Simulating ecological and evolutionary systems in C / Will Wilson.

By: Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2000Description: 1 online resource (xv, 301 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511623424 (ebook)
Other title:
  • Simulating Ecological & Evolutionary Systems in C
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 577/.01/13 21
LOC classification:
  • QH541.15.S5 W54 2000
Online resources: Summary: Computer simulations provide a powerful tool for understanding ecological and evolutionary systems. Simulating Ecological and Evolutionary Systems in C models a diverse range of biological processes and systems, including competition, foraging, predation, mating systems, and life-history optimization, by simulating large collections of interacting individuals. Using the widely available computer programming language C, the book starts with elementary programs modeling stochastic birth-death processes, slowly increasing programming complexity as the chapters progress. All the important features of C are covered, including arrays, files, pointers, and structures, within biologically motivated simulations. Although computer simulations of extremely complicated biological processes are released from rigid mathematical constraints, each of the simulations is also placed in the context of a mathematical formulation examined either analytically or numerically. Procedures covered include testing random number generators, producing PostScript files, root-finding, numerical integration and using the genetic algorithm.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Computer simulations provide a powerful tool for understanding ecological and evolutionary systems. Simulating Ecological and Evolutionary Systems in C models a diverse range of biological processes and systems, including competition, foraging, predation, mating systems, and life-history optimization, by simulating large collections of interacting individuals. Using the widely available computer programming language C, the book starts with elementary programs modeling stochastic birth-death processes, slowly increasing programming complexity as the chapters progress. All the important features of C are covered, including arrays, files, pointers, and structures, within biologically motivated simulations. Although computer simulations of extremely complicated biological processes are released from rigid mathematical constraints, each of the simulations is also placed in the context of a mathematical formulation examined either analytically or numerically. Procedures covered include testing random number generators, producing PostScript files, root-finding, numerical integration and using the genetic algorithm.

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