Introduction to Population Modeling

ISBN 10: 3764330155 / ISBN 13: 9783764330156

Published by Birkhäuser Verlag AG, 1998

About this Item

186 Seiten Sofort verfügbar Versand spätestens am nächsten Arbeitstag Rechnung mit ausgewiesener MwSt. liegt bei daily shipping worldwide with invoice ex library in good condition aus Bibliothek in guten Zustand Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 182897

Bibliographic Details

• Title: Introduction to Population Modeling
• Publisher: Birkhäuser Verlag AG
• Publication Date: 1998
• Language: English
• ISBN 10: 3764330155
• ISBN 13: 9783764330156
• Binding: Taschenbuch
• Condition: Gut
• Weight: 550 grams
• Seller catalogs:
  • Alle Bücher

About this title

Synopsis

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.