Modeling Nature
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Author |
: Sharon E. Kingsland |
Publisher |
: University of Chicago Press |
Total Pages |
: 326 |
Release |
: 1995-10-16 |
ISBN-10 |
: 0226437280 |
ISBN-13 |
: 9780226437286 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Modeling Nature by : Sharon E. Kingsland
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.
Author |
: John Adam |
Publisher |
: Princeton University Press |
Total Pages |
: 408 |
Release |
: 2011-10-02 |
ISBN-10 |
: 9781400841011 |
ISBN-13 |
: 1400841011 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Mathematics in Nature by : John Adam
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.
Author |
: Richard J. Gaylord |
Publisher |
: Springer |
Total Pages |
: 266 |
Release |
: 2013-12-21 |
ISBN-10 |
: 9781468494051 |
ISBN-13 |
: 1468494058 |
Rating |
: 4/5 (51 Downloads) |
Synopsis Modeling Nature by : Richard J. Gaylord
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.
Author |
: William A Wallace |
Publisher |
: CUA Press |
Total Pages |
: 472 |
Release |
: 1996 |
ISBN-10 |
: 9780813208602 |
ISBN-13 |
: 0813208602 |
Rating |
: 4/5 (02 Downloads) |
Synopsis The Modeling of Nature by : William A Wallace
The Modeling of Nature provides an excellent introduction to the fundamentals of natural philosophy, psychology, logic, and epistemology.
Author |
: Neil A. Gershenfeld |
Publisher |
: Cambridge University Press |
Total Pages |
: 268 |
Release |
: 1999 |
ISBN-10 |
: 0521570956 |
ISBN-13 |
: 9780521570954 |
Rating |
: 4/5 (56 Downloads) |
Synopsis The Nature of Mathematical Modeling by : Neil A. Gershenfeld
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.
Author |
: Edward Gillman |
Publisher |
: CABI |
Total Pages |
: 281 |
Release |
: 2019-05-30 |
ISBN-10 |
: 9781786393104 |
ISBN-13 |
: 1786393107 |
Rating |
: 4/5 (04 Downloads) |
Synopsis Modelling Nature by : Edward Gillman
This short textbook introduces students to the concept of describing natural systems using mathematical models. We highlight the variety of ways in which natural systems lend themselves to mathematical description and the importance of models in revealing fundamental processes. The process of science via the building, testing and use of models (theories) is described and forms the structure of the book. The book covers a broad range from the molecular to ecosystems and whole-Earth phenomena. Themes running through the chapters include scale (temporal and spatial), change (linear and nonlinear), emergent phenomena and uncertainty. Mathematical descriptions are kept to a minimum and we illustrate mechanisms and results in graphical form wherever possible. Essential mathematical details are described fully, with the use of boxes. The mathematics supports but does not lead the text.
Author |
: Sharon E. Kingsland |
Publisher |
: |
Total Pages |
: 288 |
Release |
: 1985 |
ISBN-10 |
: CORNELL:31924000112437 |
ISBN-13 |
: |
Rating |
: 4/5 (37 Downloads) |
Synopsis Modeling Nature by : Sharon E. Kingsland
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.
Author |
: Roman Frigg |
Publisher |
: Springer |
Total Pages |
: 241 |
Release |
: 2021-09-03 |
ISBN-10 |
: 3030451550 |
ISBN-13 |
: 9783030451554 |
Rating |
: 4/5 (50 Downloads) |
Synopsis Modelling Nature: An Opinionated Introduction to Scientific Representation by : Roman Frigg
This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive statement of their alternative proposal, the DEKI account of representation, which they have developed over the last few years. They show how the account works in the case of material as well as non-material models; how it accommodates the use of mathematics in scientific modelling; and how it sheds light on the relation between representation in science and art. The issue of representation has generated a sizeable literature, which has been growing fast in particular over the last decade. This makes it hard for novices to get a handle on the topic because so far there is no book-length introduction that would guide them through the discussion. Likewise, researchers may require a comprehensive review that they can refer to for critical evaluations. This book meets the needs of both groups.
Author |
: Rem G Khlebopros |
Publisher |
: World Scientific |
Total Pages |
: 335 |
Release |
: 2007-02-14 |
ISBN-10 |
: 9789814477314 |
ISBN-13 |
: 9814477311 |
Rating |
: 4/5 (14 Downloads) |
Synopsis Catastrophes In Nature And Society: Mathematical Modeling Of Complex Systems by : Rem G Khlebopros
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.
Author |
: Dash, Sujata |
Publisher |
: IGI Global |
Total Pages |
: 567 |
Release |
: 2017-08-10 |
ISBN-10 |
: 9781522528586 |
ISBN-13 |
: 152252858X |
Rating |
: 4/5 (86 Downloads) |
Synopsis Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms by : Dash, Sujata
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.