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Author: Mark L. Wilkins
Publisher: Springer Science & Business Media
ISBN: 3662038854
Category : Science
Languages : en
Pages : 260
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Book Description
A description of computer programs for simulating phenomena in hydrodynamics, gas dynamics, and elastic plastic flow in one, two, and three dimensions. The text covers Maxwell's equations, and thermal and radiation diffusion, while the numerical procedures described permit the exact conservation of physical properties in the solutions of the fundamental laws of mechanics. The author also treats materials, including the use of simulation programs to predict material behavior.
Author: Mark L. Wilkins
Publisher: Springer Science & Business Media
ISBN: 3662038854
Category : Science
Languages : en
Pages : 260
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Book Description
A description of computer programs for simulating phenomena in hydrodynamics, gas dynamics, and elastic plastic flow in one, two, and three dimensions. The text covers Maxwell's equations, and thermal and radiation diffusion, while the numerical procedures described permit the exact conservation of physical properties in the solutions of the fundamental laws of mechanics. The author also treats materials, including the use of simulation programs to predict material behavior.
Author: M. P. Allen
Publisher: Springer Science & Business Media
ISBN: 9780792322832
Category : Mathematics
Languages : en
Pages : 538
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Book Description
Proceedings of a NATO ASI held near Alghero, Italy in September 1992. The school focused on recent progress in applying the methods of computer simulation to problems in chemical physics. The 14 lectures address topics including the molecular dynamics method, advanced Monte Carlo techniques, thermodynamic constraints, computer simulations in the Gibbs ensemble, effective pair potentials and beyond, first principles molecular dynamics, computer simulation methods for nonadiabatic dynamics in condensed systems, long length- scale aspects of self organization phenomena, computer simulation of polymers, computer simulation of surfactants, parallel computing and molecular dynamics simulations, and scientific visualization--a user view. Annotation copyright by Book News, Inc., Portland, OR
Author: Bruce Hannon
Publisher: Springer Science & Business Media
ISBN: 1468402242
Category : Computers
Languages : en
Pages : 247
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Book Description
Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavour. 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. Part I provides an introduction to modeling dynamic systems, while Part II offers general methods for modeling. Parts III through to VIII then apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. To develop and execute dynamic simulation models, Dynamic Modeling comes with STELLA II run- time software for Windows-based computers, as well as computer files of sample models used in the book. A clear, approachable introduction to the modeling process, of interest in any field where real problems can be illuminated by computer simulation.
Author: Rosaria Conte
Publisher: Springer Science & Business Media
ISBN: 3662033666
Category : Business & Economics
Languages : en
Pages : 516
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Book Description
In this book experts from quite different fields present simulations of social phenomena: economists, sociologists, political scientists, psychologists, cognitive scientists, organisational scientists, decision scientists, geographers, computer scientists, AI and AL scientists, mathematicians and statisticians. They simulate markets, organisations, economic dynamics, coalition formation, the emergence of cooperation and exchange, bargaining, decision making, learning, and adaptation. The history, problems, and perspectives of simulating social phenomena are explicitly discussed.
Author: Ralph J. Kochenburger
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 552
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Book Description
Fundamental simulation techniques: an example. Basic principles of analog computers. Linear simulation operations with digital computers. Nonlinear operations with analog computers. Implicit methods of function generation; Simulation of discontinuous relations. Boundary value problems. Optimization of simulated systems. Simulation of random disturbances and their effects. Implementation of distributed-parameter systems - partial differential equations. Parallel and serial computation: hybrid computers.
Author: Edward Layer
Publisher: Springer Science & Business Media
ISBN: 364204588X
Category : Technology & Engineering
Languages : en
Pages : 165
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Book Description
The development and use of models of various objects is becoming a more common practice in recent days. This is due to the ease with which models can be developed and examined through the use of computers and appropriate software. Of those two, the former - high-speed computers - are easily accessible nowadays, and the latter - existing programs - are being updated almost continuously, and at the same time new powerful software is being developed. Usually a model represents correlations between some processes and their interactions, with better or worse quality of representation. It details and characterizes a part of the real world taking into account a structure of phenomena, as well as quantitative and qualitative relations. There are a great variety of models. Modelling is carried out in many diverse fields. All types of natural phenomena in the area of biology, ecology and medicine are possible subjects for modelling. Models stand for and represent technical objects in physics, chemistry, engineering, social events and behaviours in sociology, financial matters, investments and stock markets in economy, strategy and tactics, defence, security and safety in military fields. There is one common point for all models. We expect them to fulfil the validity of prediction. It means that through the analysis of models it is possible to predict phenomena, which may occur in a fragment of the real world represented by a given model. We also expect to be able to predict future reactions to signals from the outside world.
Author: Michael M. Resch
Publisher: Springer
ISBN: 3319557629
Category : Computers
Languages : en
Pages : 190
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Book Description
The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations.
Author: Abdo Abou Jaoudé
Publisher: Cambridge Scholars Publishing
ISBN: 1527524264
Category : Mathematics
Languages : en
Pages : 306
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Book Description
This book includes algorithms that illustrate the famous Monté Carlo Methods and the computer simulation of stochastic experiments in the areas of random numbers generation, the simulation of random phenomena, the computation of Pi and e (the base of logarithms), both simple and multiple integration, the computation of areas and volumes, probability and statistical distributions, in addition to an introduction to the novel Complex Probability Paradigm. As such, it will be of interest to all scholars, researchers, and undergraduate and graduate students in mathematics, computer science, and science in general.
Author: Lee A. Segel
Publisher: Cambridge University Press
ISBN: 9780521274777
Category : Mathematics
Languages : en
Pages : 326
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Book Description
The dynamic development of various processes is a central problem of biology and indeed of all the sciences. The mathematics describing that development is, in general, complicated, because the models that are realistic are usually nonlinear. Consequently many biologists may not notice a possible application of theory. They may be unable to decide whether a particular model captures the essence of a system, or to appreciate that analysis of a model can reveal important aspects of biological problems and may even describe in detail how a system works. The aim of this textbook is to remedy the situation by adopting a general approach to model analysis and applying it several times to problems (drawn primarily from molecular and cellular biology) of gradually increasing biological and mathematical complexity. Although material of considerable sophistication is included, little mathematical background is required - only some exposure to elementary calculus; appendixes supply the necessary mathematics and the author concentrates on concepts rather than techniques. He also emphasizes the role of computers in giving a full picture of model behavior and complementing more qualitative analysis. Some problems suitable for computer analysis are also included. This is a class-tested textbook suitable for a one-semester course for advanced undergraduate and beginning graduate students in biology or applied mathematics. It can also be used as a source book for teachers and a reference for specialists.
Author: Hartmut Bossel
Publisher: BoD – Books on Demand
ISBN: 3833484225
Category : Computers
Languages : en
Pages : 186
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Book Description
About the book: Mathematical modeling and computer simulation make it possible to understand and control the dynamic processes taking place in complex systems. Simulation provides insights into the often surprising diversity of possible behaviors, and allows identifying possibilities for intervention and options for alternative development. About one hundred simulation models from all areas of life are fully documented in the three volumes of the 'System Zoo'. They can be quickly implemented and easily operated using freely available system dynamics software. Volume 1 of the System Zoo contains simulation models of elementary processes, and of complex systems from physics and engineering, among them: exponential and logistic growth, oscillations, delays, and storage; phenomena of infection, transition, and overload; complex systems with limit cycles, multiple equilibrium points and chaotic attractors; and applications from control engineering, flight dynamics, fluid flow and heat conduction. The System Zoo collection of simulation models is particularly well-suited for teaching, training, and research projects at all levels from high school to university, and for individual study. Volume 2 of the System Zoo contains simulation models related to climate, vegetation, ecosystems and resources. Volume 3 deals with systems and processes found in economy and society, and with long-term global development. About the author: Hartmut Bossel is Professor Emeritus of environmental systems analysis. He taught for many years at the University of California in Santa Barbara and the University of Kassel, Germany, where he was director of the Center for Environmental Systems Research until his retirement. He holds an engineering degree from the Technical University of Darmstadt, and a Ph.D. degree from the University of California at Berkeley. With a background in engineering, systems science, and mathematical modeling, he has led many research projects and future studies in different countries, developing computer simulation models and decision support systems in the areas of energy supply policy, global dynamics, orientation of behavior, agricultural policy, and forest dynamics and management. He has written numerous books on modeling and simulation of dynamic systems, social change and future paths, and has published widely in the scientific literature in several fields.
