The Nature of Mathematical Modeling

Author: Neil A. Gershenfeld
Publisher: Cambridge University Press
ISBN: 9780521570954
Format: PDF, Docs
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This book first covers exact and approximate analytical techniques (ordinary differential and difference equations, partial differential equations, variational principles, stochastic processes); numerical methods (finite differences for ODE's and PDE's, finite elements, cellular automata); model inference based on observations (function fitting, data transforms, network architectures, search techniques, density estimation); as well as the special role of time in modeling (filtering and state estimation, hidden Markov processes, linear and nonlinear time series). Each of the topics in the book would be the worthy subject of a dedicated text, but only by presenting the material in this way is it possible to make so much material accessible to so many people. Each chapter presents a concise summary of the core results in an area, providing an orientation to what they can (and cannot) do, enough background to use them to solve typical problems, and pointers to access the literature for particular applications.

Applied Mathematical Modeling

Author: Douglas R. Shier
Publisher: CRC Press
ISBN: 9781420050042
Format: PDF, Kindle
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The practice of modeling is best learned by those armed with fundamental methodologies and exposed to a wide variety of modeling experience. Ideally, this experience could be obtained by working on actual modeling problems. But time constraints often make this difficult. Applied Mathematical Modeling provides a collection of models illustrating the power and richness of the mathematical sciences in supplying insight into the operation of important real-world systems. It fills a gap within modeling texts, focusing on applications across a broad range of disciplines. The first part of the book discusses the general components of the modeling process and highlights the potential of modeling in practice. These chapters discuss the general components of the modeling process, and the evolutionary nature of successful model building. The second part provides a rich compendium of case studies, each one complete with examples, exercises, and projects. In keeping with the multidimensional nature of the models presented, the chapters in the second part are listed in alphabetical order by the contributor's last name. Unlike most mathematical books, in which you must master the concepts of early chapters to prepare for subsequent material, you may start with any chapter. Begin with cryptology, if that catches your fancy, or go directly to bursty traffic if that is your cup of tea. Applied Mathematical Modeling serves as a handbook of in-depth case studies that span the mathematical sciences, building upon a modest mathematical background. Readers in other applied disciplines will benefit from seeing how selected mathematical modeling philosophies and techniques can be brought to bear on problems in their disciplines. The models address actual situations studied in chemistry, physics, demography, economics, civil engineering, environmental engineering, industrial engineering, telecommunications, and other areas.

Mathematics in Nature

Author: John A. Adam
Publisher: Princeton University Press
ISBN: 1400841011
Format: PDF, ePub, Mobi
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From rainbows, river meanders, and shadows to spider webs, honeycombs, and the markings on animal coats, the visible world is full of patterns that can be described mathematically. Examining such readily observable phenomena, this book introduces readers to the beauty of nature as revealed by mathematics and the beauty of mathematics as revealed in nature. Generously illustrated, written in an informal style, and replete with examples from everyday life, Mathematics in Nature is an excellent and undaunting introduction to the ideas and methods of mathematical modeling. It illustrates how mathematics can be used to formulate and solve puzzles observed in nature and to interpret the solutions. In the process, it teaches such topics as the art of estimation and the effects of scale, particularly what happens as things get bigger. Readers will develop an understanding of the symbiosis that exists between basic scientific principles and their mathematical expressions as well as a deeper appreciation for such natural phenomena as cloud formations, halos and glories, tree heights and leaf patterns, butterfly and moth wings, and even puddles and mud cracks. Developed out of a university course, this book makes an ideal supplemental text for courses in applied mathematics and mathematical modeling. It will also appeal to mathematics educators and enthusiasts at all levels, and is designed so that it can be dipped into at leisure.

Catastrophes in Nature and Society

Author: Viktor Okhonin
Publisher: World Scientific
ISBN: 9812569170
Format: PDF, Kindle
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People often learn about various crises leading to catastrophes in nature, in social and economic life, or in living organisms (including humans). The book offers a popular account of the causative mechanisms of critical and catastrophic states in a broad range of natural and cultural systems -- which obey the same laws -- and thus makes the reader aware of the reasons and ways to avoid and mitigate the negative consequences of catastrophic events. The authors apply a single mathematical approach to investigate the revolt of cancer cells that destroy organisms and population outbreaks that destroy the natural ecosystems. The approach is also applied to the interference of industry with the environment that often leads to ecology and economic collapses, global catastrophes, and economic and social crises.

Alternate realities

Author: J. L. Casti
Publisher: Wiley-Interscience
ISBN:
Format: PDF, Kindle
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Praise for Alternate Realities Mathematical Models of Nature and Man "â¦covers the major topics completely and accurately within the context of current knowledge. Indeed, to my knowledge, there is no book which does so nearly as completely and well." âGeorge Leitmann, University of California, Berkeley "Surveys an extensive amount of modern mathematicsâ¦introduces and outlines some of these basic modern ideas for the non-specialist." âDonald G. Saari, Northwestern University "A sophisticated and modern text on mathematical modellingâ¦much more comprehensive than any of its competitors currently on the market." âGeorge Klir, State University of New York at Binghamton "Castiâs approach is fearless in constructing conceptual mappings between reality and mathematical notions. The book is pioneering in nature." âMyron B. Allen, University of Wyoming An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Mathematical Models in Applied Mechanics

Author: Alan B. Tayler
Publisher: Oxford University Press
ISBN: 9780198515593
Format: PDF, ePub, Mobi
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Mathematical Models in Applied Mechanics is perfectly designed for final year undergraduate and graduate students. This textbook utilizes the power of mathematics in solving practical, scientific and technical problems through mathematical modeling techniques. Taken from real-life situations, the text includes twenty-one ordered problems, which gives students the ability to develop the skills necessary to create new situational models.

Selected mathematical models in environmental impact assessment in Canada

Author: Michel de Broissia
Publisher: Canadian Environmental Assessment Research Council
ISBN:
Format: PDF, Kindle
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Background paper which reviewed mathematical models used in the evaluation and prediction of environmental impacts due to new projects. Includes a description of current models, the nature of their utilization and the existence of validation and/or verification steps.

Topics in Mathematical Modeling

Author: K. K. Tung
Publisher: Princeton University Press
ISBN: 1400884055
Format: PDF, ePub, Mobi
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Topics in Mathematical Modeling is an introductory textbook on mathematical modeling. The book teaches how simple mathematics can help formulate and solve real problems of current research interest in a wide range of fields, including biology, ecology, computer science, geophysics, engineering, and the social sciences. Yet the prerequisites are minimal: calculus and elementary differential equations. Among the many topics addressed are HIV; plant phyllotaxis; global warming; the World Wide Web; plant and animal vascular networks; social networks; chaos and fractals; marriage and divorce; and El Niño. Traditional modeling topics such as predator-prey interaction, harvesting, and wars of attrition are also included. Most chapters begin with the history of a problem, follow with a demonstration of how it can be modeled using various mathematical tools, and close with a discussion of its remaining unsolved aspects. Designed for a one-semester course, the book progresses from problems that can be solved with relatively simple mathematics to ones that require more sophisticated methods. The math techniques are taught as needed to solve the problem being addressed, and each chapter is designed to be largely independent to give teachers flexibility. The book, which can be used as an overview and introduction to applied mathematics, is particularly suitable for sophomore, junior, and senior students in math, science, and engineering.

Mathematical Modeling in Ecology

Author: C. Jeffries
Publisher: Springer Science & Business Media
ISBN: 9780817634216
Format: PDF, Docs
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Mathematical ecology is the application of mathematics to describe and understand ecosystems. There are two main approaches. One is to describe natural communities and induce statistical patterns or relationships which should generally occur. However, this book is devoted entirely to introducing the student to the second approach: to study deterministic mathematical models and, on the basis of mathematical results on the models, to look for the same patterns or relationships in nature. This book is a compromise between three competing desiderata. It seeks to: maximize the generality of the models; constrain the models to "behave" realistically, that is, to exhibit stability and other features; and minimize the difficulty of presentations of the models. The ultimate goal of the book is to introduce the reader to the general mathematical tools used in building realistic ecosystem models. Just such a model is presented in Chapter Nine. The book should also serve as a stepping-stone both to advanced mathematical works like Stability of Biological Communities by Yu. M. Svirezhev and D. O. Logofet (Mir, Moscow, 1983) and to advanced modeling texts like Freshwater Ecosystems by M. Straskraba and A. H. Gnauch (Elsevier, Amsterdam, 1985).