© 1979

Introduction to Population Modeling


Part of the The Umap Expository Monograph Series book series (UMAP)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. James C. Frauenthal
    Pages 1-11
  3. James C. Frauenthal
    Pages 13-24
  4. James C. Frauenthal
    Pages 25-33
  5. James C. Frauenthal
    Pages 35-46
  6. James C. Frauenthal
    Pages 47-58
  7. James C. Frauenthal
    Pages 59-75
  8. James C. Frauenthal
    Pages 77-94
  9. James C. Frauenthal
    Pages 95-107
  10. James C. Frauenthal
    Pages 109-122
  11. James C. Frauenthal
    Pages 123-131
  12. James C. Frauenthal
    Pages 133-143
  13. James C. Frauenthal
    Pages 145-186

About this book


The text of this monograph represents the author's lecture notes from a course taught in the Department of Applied Mathematics and Statistics at the State University of New York at Stony Brook in the Spring of 1977. On account of its origin as lecture notes, some sections of the text are telegraphic in style while other portions are overly detailed. This stylistic foible has not been modified as it does not appear to detract seriously from the readability and it does help to indicate which topics were stressed. The audience for the course at Stony Brook was composed almost entirely of fourth year undergraduates majoring in the mathematical sciences. All of these students had studied at least four semesters of calculus and one of probability; few had any prior experience with either differential equations or ecology. It seems prudent to point out that the author's background is in engineering and applied mathematics and not in the biological sciences. It is hoped that this is not painfully obvious. -vii- The focus of the monograph is on the formulation and solution of mathematical models; it makes no pretense of being a text in ecology. The idea of a population is employed mainly as a pedagogic tool, providing unity and intuitive appeal to the varied mathematical ideas introduced. If the biological setting is stripped away, what remains can be interpreted as topics on the qualitative behavior of differential and difference equations.


Mathematica applied mathematics growth mathematics modeling statistics

Authors and affiliations

  1. 1.Applied Mathematics and StatisticsState University of New YorkStony BrookUSA

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