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Dynamic Modeling by Bruce Hannon

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Published by Springer New York in New York, NY .
Written in English

Subjects:

  • Medical records,
  • Life sciences,
  • Computer simulation,
  • Computer science,
  • Data processing,
  • Biology

Book details:

About the Edition

Computer models offer a means of interpreting and analyzing the dynamics of real-world systems ranging from population growth to ozone depletion and a new section on modeling in genetics. Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavor. The book enables readers to convert their understanding of a phenomenon to a computer model, and then to run the model and let it yield the inevitable dynamic consequences built into the structure of the model. Dynamic Modeling uses STELLA software to develop simulation models. Part I provides an introduction to modeling dynamic systems. Part II offers general methods for modeling. Parts III through VIII apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. Dynamic Modeling offers a clear, approachable introduction to the modeling process, and will be of interest in any field where real problems can be illuminated by computer simulation.

Edition Notes

Statementby Bruce Hannon, Matthias Ruth
SeriesModeling Dynamic Systems, Modeling dynamic systems
ContributionsRuth, Matthias
Classifications
LC ClassificationsQA76.9.C65
The Physical Object
Format[electronic resource] /
Pagination1 online resource (xviii, 410 p.)
Number of Pages410
ID Numbers
Open LibraryOL27033473M
ISBN 101461265606, 1461302110
ISBN 109781461265603, 9781461302117
OCLC/WorldCa852792628

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  Part I provides an introduction to modeling dynamic systems, while Part II offers general modeling methods. Parts III through VIII then The book uses STELLA software to develop simulation models, thus allowing readers to convert their understanding of a phenomenon to a computer model, and then run it to yield the inevitable dynamic consequences /5(1). Outlines the theory behind, and techniques for, using dynamic modeling, taking the reader through a series of increasingly complex models. At each step, examples are used to claify applications of different equation models. Learn more about "The Little Green Book" - QASS Series! Click Here. System dynamics is a methodology and mathematical modeling technique to frame, understand, and discuss complex issues and problems. Originally developed in the s to help corporate managers improve their understanding of industrial processes, SD is currently being used throughout the public and private sector for policy analysis and design. This book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries. The principles of modeling and control could be applied to other non-convention methods of .

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Mathematics for Dynamic Modeling provides an introduction to the mathematics of dynamical systems. This book presents the mathematical formulations in terms of linear and nonlinear differential equations. Organized into two parts encompassing nine chapters, this book begins with an overview of the notions of equilibrium and stability in. Dynamic Modeling of Environmental Systems is a primer on using models to understand environmental problems. With their many natural, economic, political, and technical aspects, environmental problems require a systems approach. This book provides an introduction to modeling concepts andBrand: Springer-Verlag New York. Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly . The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB and Simulink software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems.