Publicado por Dordrecht: Kluwer Academic pub., 1999., 1999
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Publicado por Springer US, Springer US, 2013
ISBN 10: 1441948147 ISBN 13: 9781441948144
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computer-based mathematical modeling - the technique of representing and managing models in machine-readable form - is still in its infancy despite the many powerful mathematical software packages already available which can solve astonishingly complex and large models. On the one hand, using mathematical and logical notation, we can formulate models which cannot be solved by any computer in reasonable time - or which cannot even be solved by any method. On the other hand, we can solve certain classes of much larger models than we can practically handle and manipulate without heavy programming. This is especially true in operations research where it is common to solve models with many thousands of variables. Even today, there are no general modeling tools that accompany the whole modeling process from start to finish, that is to say, from model creation to report writing. This book proposes a framework for computer-based modeling. More precisely, it puts forward a modeling language as a kernel representation for mathematical models. It presents a general specification for modeling tools. The book does not expose any solution methods or algorithms which may be useful in solving models, neither is it a treatise on how to build them. No help is intended here for the modeler by giving practical modeling exercises, although several models will be presented in order to illustrate the framework. Nevertheless, a short introduction to the modeling process is given in order to expound the necessary background for the proposed modeling framework.
Idioma: Inglés
Publicado por Springer US, Springer US, 1999
ISBN 10: 0792359275 ISBN 13: 9780792359272
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computer-based mathematical modeling - the technique of representing and managing models in machine-readable form - is still in its infancy despite the many powerful mathematical software packages already available which can solve astonishingly complex and large models. On the one hand, using mathematical and logical notation, we can formulate models which cannot be solved by any computer in reasonable time - or which cannot even be solved by any method. On the other hand, we can solve certain classes of much larger models than we can practically handle and manipulate without heavy programming. This is especially true in operations research where it is common to solve models with many thousands of variables. Even today, there are no general modeling tools that accompany the whole modeling process from start to finish, that is to say, from model creation to report writing. This book proposes a framework for computer-based modeling. More precisely, it puts forward a modeling language as a kernel representation for mathematical models. It presents a general specification for modeling tools. The book does not expose any solution methods or algorithms which may be useful in solving models, neither is it a treatise on how to build them. No help is intended here for the modeler by giving practical modeling exercises, although several models will be presented in order to illustrate the framework. Nevertheless, a short introduction to the modeling process is given in order to expound the necessary background for the proposed modeling framework.
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc., 2013
ISBN 10: 1441948147 ISBN 13: 9781441948144
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Añadir al carritoTaschenbuch. Condición: Neu. Mathematical Modeling and Optimization | An Essay for the Design of Computer-Based Modeling Tools | Tony Hürlimann | Taschenbuch | xxii | Englisch | 2013 | Humana | EAN 9781441948144 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 104107767X ISBN 13: 9781041077671
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Añadir al carritoHardcover. Condición: new. Hardcover. The text provides a solid foundation in mathematical, modeling, and optimization techniques ensuring that readers develop a deep understanding of the core concepts before delving into more complex topics. It discusses analytical techniques used to solve structural performance, potential flow analysis, fluid flow control in MEMS, two-fluid nonlinear model, and unsteady blood flow.Features:Discusses fundamental equations and governing principles of heat transfer and fluid dynamics.Covers topics such as analytical methods, numerical techniques, turbulence modeling, multiphase flow dynamics, circular economy, industry 4.0, food security, different inventory models, and transportation problems.Presents detailed exploration of various computational methods including finite difference, finite element, and spectral element methods. Addresses the integrated approach needed for solving complex problems involving heat and fluid flow for a wide range of applications, including industrial, agricultural and environmental systems. Showcases how to use powerful computer tools and mathematical methods to analyze and improve real-world systems, such as building performance, materials property enhancement, wastewater treatment, genetically modified crops, and climate models. It is primarily written for senior undergraduates, graduate students, and academic researchers in manufacturing engineering, industrial engineering, engineering mathematics, mathematics, production engineering, industrial engineering, and environmental engineering. The text provides a solid foundation in mathematical, modeling and optimization techniques ensuring that readers develop a deep understanding of the core concepts before delving into more complex topics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.