Description

Book Synopsis

This book surveys theoretical models in three broad areas of biology (the origin of life, the immune system, and memory in the brain), introducing mathematical and (mainly) computational models that have been used to construct simulations. Most current books on theoretical biology fall into one of two categories: (a) books that specialize in one area of biology and treat theoretical models in considerable depth; and (b) books that concentrate on purely mathematical models, with computers used only to find numerical solutions to differential equations, for example. Although some mathmatical models are considered in this book, the main emphasis is on stochastic computer modles of biological systems. Such techniques have a much greater potential for producting detailed, realistic models of individual systems, and are likely to be the preferred modelling methods of the future. By considering three different areas in biology, the book shows how several of these modelling techniques have bee

Trade Review

Anyone who is interested in the theoretical models of complicated living systems should have this in his or her library. * Bulletin of Mathematical Biology *

Table of Contents

I: THE ORIGIN OF LIFE ; II: THE IMMUNE SYSTEM ; III: THE BRAIN

Theoretical Models in Biology

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    A Paperback by Glenn Rowe

    £999.99

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      Book details

      Publisher Clarendon Press
      Published 25 September 1997
      ISBN-13 9780198596875
      978-0198596875
      ISBN-10 0198596871

      Description

      Book Synopsis

      This book surveys theoretical models in three broad areas of biology (the origin of life, the immune system, and memory in the brain), introducing mathematical and (mainly) computational models that have been used to construct simulations. Most current books on theoretical biology fall into one of two categories: (a) books that specialize in one area of biology and treat theoretical models in considerable depth; and (b) books that concentrate on purely mathematical models, with computers used only to find numerical solutions to differential equations, for example. Although some mathmatical models are considered in this book, the main emphasis is on stochastic computer modles of biological systems. Such techniques have a much greater potential for producting detailed, realistic models of individual systems, and are likely to be the preferred modelling methods of the future. By considering three different areas in biology, the book shows how several of these modelling techniques have bee

      Trade Review

      Anyone who is interested in the theoretical models of complicated living systems should have this in his or her library. * Bulletin of Mathematical Biology *

      Table of Contents

      I: THE ORIGIN OF LIFE ; II: THE IMMUNE SYSTEM ; III: THE BRAIN

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