Mathematical Analysis of Decision Problems in Ecology


Book Description

The contents of this volume involve selection, emendation and up-dating of papers presented at the NATO Conference "Mathe matical Analysis of Decision problems in Ecology" in Istanbul, Turkey, July 9-13, 1973. It was sponsored by the System Sciences Division of NATO directed by Dr. B. Bayraktar with local arrange ments administered by Dr. Ilhami Karayalcin, professor of the Department of Industrial Engineering at the Technical University of Istanbul. It was organized by A. Charnes, University professor across the University of Texas System, and Walter R.Lynn, Di rector of the School of Civil and Environmental Engineering at Cornell Unjversity. The objective of the conference was to bring together a group of leading researchers from the major sciences involved in eco logical problems and to present the current state of progress in research of a mathematical nature which might assist in the solu tion of these problems. Although their presentations are not herein recorded, the key note address of Dr. John A. Logan, president, Rose-Hulman Institute of Technology and the presentation of Dr. Michael J. L. Kirby, then Assistant principal Secretary to the premier of Nova Scotia, Canada, greatly influenced the discussion of papers and their subsequent emendations and revisions.




Mathematical Ecology


Book Description




Current Catalog


Book Description

First multi-year cumulation covers six years: 1965-70.




Mathematical Approaches to Problems in Resource Management and Epidemiology


Book Description

Increasingly, mathematical methods are being used to advantage in addressing the problems facing humanity in managing its environment. Problems in resource management and epidemiology especially have demonstrated the utility of quantitative modeling. To explore these approaches, the Center of Applied Mathematics at Cornell University organized a conference in Fall, 1987, with the objective of surveying and assessing the state of the art. This volume records the proceedings of that conference. Underlying virtually all of these studies are models of population growth, from individual cells to large vertebrates. Cell population growth presents the simplest of systems for study, and is of fundamental importance in its own right for a variety of medical and environmental applications. In Part I of this volume, Michael Shuler describes computer models of individual cells and cell populations, and Frank Hoppensteadt discusses the synchronization of bacterial culture growth. Together, these provide a valuable introduction to mathematical cell biology.




Mathematical Demography


Book Description

This volume is an effort to bring together important contributions to the mathe matical development of demography and to suggest briefly their historical context. We have tried to find who first thought of the several concepts and devices commonly used by demographers, what sort of problem he was facing to which the device or concept seemed the solution, and how his invention developed subsequently in the hands of others. Historically, the book starts with a Roman table of life expectancies from the third century a. d. about which we know little, and with John Graunt's explora tions in an area that was still popularly suspect when he wrote in 1662. These are followed by the astronomer Halley, who looked into the field long enough to invent the life table and to notice that Their Majesties would take a sizeable loss on the annuity scheme they had just launched; and by Euler, who was first to devise the formulas of stable population theory and to apply them to filling gaps in data To these we add the handful of further contributions in the 19th century and many pieces from the explosion of contributions that began in this century with Lotka. We doubt that we have managed to trace everything back to its ultimate beginning, and suspect that our nominees in some cases have been anticipated by predecessors who will be turned up by other students.







Algebras in Genetics


Book Description

The purpose of these notes is to give a rather complete presentation of the mathematical theory of algebras in genetics and to discuss in detail many applications to concrete genetic situations. Historically, the subject has its origin in several papers of Etherington in 1939- 1941. Fundamental contributions have been given by Schafer, Gonshor, Holgate, Reiers¢l, Heuch, and Abraham. At the moment there exist about forty papers in this field, one survey article by Monique Bertrand from 1966 based on four papers of Etherington, a paper by Schafer and Gonshor's first paper. Furthermore Ballonoff in the third section of his book "Genetics and Social Structure" has included four papers by Etherington and Reiers¢l's paper. Apparently a complete review, in par ticular one comprising more recent results was lacking, and it was difficult for students to enter this field of research. I started to write these notes in spring 1978. A first german version was finished at the end of that year. Further revision and translation required another year. I hope that the notes in their present state provide a reasonable review and that they will facilitate access to this field. I am especially grateful to Professor K. -P. Hadeler and Professor P. Holgate for reading the manuscript and giving essential comments to all versions of the text. I am also very grateful to Dr. I. Heuch for many discussions during and after his stay in TUbingen. I wish to thank Dr. V. M.







Fuzzy Preference Ordering of Interval Numbers in Decision Problems


Book Description

In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are mainly generated in two ways – (1) due to imprecise perception and knowledge of the human expert followed by vague representation of knowledge as a DM; (2) due to huge-ness and complexity of relations and data structure in the definition of the problem situation. We use interval numbers to specify inexact or imprecise or uncertain data. Consequently, the study of a decision problem requires answering the following initial questions: How should we compare and define preference ordering between two intervals?, interpret and deal inequality relations involving interval coefficients?, interpret and make way towards the goal of the decision problem? The present research work consists of two closely related fields: approaches towards defining a generalized preference ordering scheme for interval attributes and approaches to deal with some issues having application potential in many areas of decision making.




Environmental economics


Book Description

'The river Rhine, it is well known, Doth wash your city of Cologne; Butteil me, Nymphs, what power divine Shall henceforth wash the river Rhine?' The above strophe, composed by Samuel Taylor Coleridge early last century, shows that interest in environmental problems (in this case, the self-cleansing property of water) is not just something new, but was also present in the past. The reader may wonder, after this poetic contribution which is still very relevant, if there is any need to compile a book which handles environmental problems in a much less prosaic, i. e. scientific, way. It is my firm beliefthat present environmental problems, because of both s i z e and in t e n s y, i t deserve our profound attention. This concern will have to be shown not only by those directly involved, viz. the 'man in the street', but also by the authorities as well as by scientists. In view also of the social relevance of the environmental question, science may not be impartial but must make a (modest) attempt to analyse, explain and solve the present environmental question systematically.