Mathematical modeling in the life sciences
Author(s)
Bibliographic Information
Mathematical modeling in the life sciences
（Ellis Horwood series in mathematics and its applications）
Ellis Horwood, 1992
- : cloth
- : paper
Available at / 13 libraries
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Nara Women's University Academic Information Center
: clothF574.015||9393201631,
: paperF574.015||9393200070 -
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Note
Includes bibliographical references and index
Description and Table of Contents
- Volume
-
: cloth ISBN 9780135620007
Description
Containing a balanced mixture of mathematics, biology, statistics, philosophy, and the use of computers, this book meets the need for a text that can help the user to apply mathematical methods in the solving of biological and other related problems. Adopting an applications-oriented approach and emphasizing the need to understand the language of mathematicians, Paul Doucet and Peter Sloep show how to formulate mathematical models of dynamic processes, and how to study their behaviour analytically and numerically (through the use of computers). A variety of applications of mathematics in life sciences, ranging from enzyme kinetics to fishery biology, and from physiological control to ecology, illustrate and clarify the text.
Table of Contents
- Process and differential equations
- differential equations and difference equations
- computer simulation
- compartment systems
- dynamic systems
- state space analysis and stability
- linear systems
- using graphs
- curve fitting
- probability
- stochastic models
- parameter estimation and regression
- working with models
- constructing models
- chemical kinetics
- physiological control
- growth
- population dynamics
- fishery.
- Volume
-
: paper ISBN 9780135620182
Description
Combining mathematics, biology, statistics and computer applications, this text applies mathematical methods to the solution of biological and related problems. It demonstrates how to formulate mathematical models of dynamic processes and how to study their behaviour analytically and numerically.
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