Modeling Nature

Modeling Nature PDF

Author: Richard J. Gaylord

Publisher: Springer

Published: 2013-12-21

Total Pages: 266

ISBN-13: 1468494058

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A guide to using Mathematica so as to explore cellular automata within natural phenomena, such as insect colonies, bird flight paths and even DNA sequencing. Designed for physicists, life scientists, and engineers - in fact, everyone dealing with fractals - the book first introduces Mathematica before going on to provide the valuable information needed to properly motivate the code and run the simulations presented in the book. All these simulations have been tested both inside and outside the classroom setting, allowing the book's use as reference material as well as a textbook or course supplement. Packaged together with a DOS diskette enabling cross-platfform access to the code. The files will also be accessible via the World Wide Web.

Modeling Nature

Modeling Nature PDF

Author: Sharon E. Kingsland

Publisher: University of Chicago Press

Published: 1995-10-16

Total Pages: 326

ISBN-13: 9780226437286

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The first history of population ecology traces two generations of science and scientists from the opening of the twentieth century through 1970. Kingsland chronicles the careers of key figures and the field's theoretical, empirical, and institutional development, with special attention to tensions between the descriptive studies of field biologists and later mathematical models. This second edition includes a new afterword that brings the book up to date, with special attention to the rise of "the new natural history" and debates about ecology's future as a large-scale scientific enterprise.

Mathematics in Nature

Mathematics in Nature PDF

Author: John A. Adam

Publisher: Princeton University Press

Published: 2011-10-02

Total Pages: 408

ISBN-13: 1400841011

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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.

The Nature of Mathematical Modeling

The Nature of Mathematical Modeling PDF

Author: Neil A. Gershenfeld

Publisher: Cambridge University Press

Published: 1999

Total Pages: 268

ISBN-13: 9780521570954

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This is a book about the nature of mathematical modeling, and about the kinds of techniques that are useful for modeling. The text is in four sections. The first covers exact and approximate analytical techniques; the second, numerical methods; the third, model inference based on observations; and the last, the special role of time in modeling. 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. The text is complemented by extensive worked problems.

The Modeling of Nature

The Modeling of Nature PDF

Author: William A Wallace

Publisher: CUA Press

Published: 1996

Total Pages: 472

ISBN-13: 0813208602

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The Modeling of Nature provides an excellent introduction to the fundamentals of natural philosophy, psychology, logic, and epistemology.

Nature as Model

Nature as Model PDF

Author: Luke Morgan

Publisher: University of Pennsylvania Press

Published: 2007

Total Pages: 312

ISBN-13: 0812239636

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Salomon de Caus was a pivotal figure in the dissemination of the design principles and motifs of the Italian Renaissance garden throughout Europe. By setting the record straight in this biography, Luke Morgan rewrites the received history of early seventeenth-century garden design.

Simulating Nature

Simulating Nature PDF

Author: Arthur C. Petersen

Publisher: CRC Press

Published: 2012-04-24

Total Pages: 217

ISBN-13: 1466500670

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Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change-are humans currently changing the

Modeling Nature

Modeling Nature PDF

Author: Sharon E. Kingsland

Publisher:

Published: 1985

Total Pages: 288

ISBN-13:

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The first history of population ecology traces two generations of science and scientists from the opening of the twentieth century through 1970. Kingsland chronicles the careers of key figures and the field's theoretical, empirical, and institutional development, with special attention to tensions between the descriptive studies of field biologists and later mathematical models. This second edition includes a new afterword that brings the book up to date, with special attention to the rise of "the new natural history" and debates about ecology's future as a large-scale scientific enterprise.

Catastrophes In Nature And Society: Mathematical Modeling Of Complex Systems

Catastrophes In Nature And Society: Mathematical Modeling Of Complex Systems PDF

Author: Rem G Khlebopros

Publisher: World Scientific

Published: 2007-02-14

Total Pages: 335

ISBN-13: 9814477311

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Many people are concerned about crises leading to disasters in nature, in social and economic life. The book offers a popular account of the causative mechanisms of critical states and breakdown in a broad range of natural and cultural systems — which obey the same laws — and thus makes the reader aware of the origin of catastrophic events and the ways to avoid and mitigate their negative consequences. The authors apply a single mathematical approach to investigate the revolt of cancer cells that destroy living organisms and population outbreaks that upset natural ecosystems, the balance between biosphere and global climate interfered lately by industry, the driving mechanisms of market and related economic and social phenomena, as well as the electoral system the proper use of which is an arduous accomplishment of democracy.

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms PDF

Author: Dash, Sujata

Publisher: IGI Global

Published: 2017-08-10

Total Pages: 538

ISBN-13: 152252858X

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The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.