Continuous System Modeling:
Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering sys...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1991
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| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering systems where they enable us to predict the behavior of a system before it is ever actually built. Modeling and simulation are the only techniques available that allow us to analyze arbitrarily non-linear systems accurately and under varying experimental conditions. Continuous System Modeling introduces the student to an important subclass of these techniques. They deal with the analysis of systems described through a set of ordinary or partial differential equations or through a set of difference equations. This volume introduces concepts of modeling physical systems through a set of differential and/or difference equations. The purpose is twofold: it enhances the scientific understanding of our physical world by codifying (organizing) knowledge about this world, and it supports engineering design by allowing us to assess the consequences of a particular design alternative before it is actually built. This text has a flavor of the mathematical discipline of dynamical systems, and is strongly oriented towards Newtonian physical science |
| Beschreibung: | 1 Online-Ressource (XXVIII, 756 p) |
| ISBN: | 9781475739220 |
| DOI: | 10.1007/978-1-4757-3922-0 |
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| 520 | |a Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering systems where they enable us to predict the behavior of a system before it is ever actually built. Modeling and simulation are the only techniques available that allow us to analyze arbitrarily non-linear systems accurately and under varying experimental conditions. Continuous System Modeling introduces the student to an important subclass of these techniques. They deal with the analysis of systems described through a set of ordinary or partial differential equations or through a set of difference equations. This volume introduces concepts of modeling physical systems through a set of differential and/or difference equations. The purpose is twofold: it enhances the scientific understanding of our physical world by codifying (organizing) knowledge about this world, and it supports engineering design by allowing us to assess the consequences of a particular design alternative before it is actually built. This text has a flavor of the mathematical discipline of dynamical systems, and is strongly oriented towards Newtonian physical science | ||
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Datensatz im Suchindex
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| id | DE-604.BV045185557 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:55Z |
| institution | BVB |
| isbn | 9781475739220 |
| language | English |
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| spelling | Cellier, François E. Verfasser aut Continuous System Modeling by François E. Cellier New York, NY Springer New York 1991 1 Online-Ressource (XXVIII, 756 p) txt rdacontent c rdamedia cr rdacarrier Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering systems where they enable us to predict the behavior of a system before it is ever actually built. Modeling and simulation are the only techniques available that allow us to analyze arbitrarily non-linear systems accurately and under varying experimental conditions. Continuous System Modeling introduces the student to an important subclass of these techniques. They deal with the analysis of systems described through a set of ordinary or partial differential equations or through a set of difference equations. This volume introduces concepts of modeling physical systems through a set of differential and/or difference equations. The purpose is twofold: it enhances the scientific understanding of our physical world by codifying (organizing) knowledge about this world, and it supports engineering design by allowing us to assess the consequences of a particular design alternative before it is actually built. This text has a flavor of the mathematical discipline of dynamical systems, and is strongly oriented towards Newtonian physical science Engineering Mechanical Engineering Mathematical Modeling and Industrial Mathematics Appl.Mathematics/Computational Methods of Engineering Electrical Engineering Systems Theory, Control Calculus of Variations and Optimal Control; Optimization System theory Mathematical models Calculus of variations Applied mathematics Engineering mathematics Mechanical engineering Electrical engineering Kontinuierliches System (DE-588)4263504-4 gnd rswk-swf Kontinuumsphysik (DE-588)4165166-2 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Kontinuierliches System (DE-588)4263504-4 s Dynamisches System (DE-588)4013396-5 s Computersimulation (DE-588)4148259-1 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Simulation (DE-588)4055072-2 s 2\p DE-604 Kontinuumsphysik (DE-588)4165166-2 s 3\p DE-604 Erscheint auch als Druck-Ausgabe 9781475739244 https://doi.org/10.1007/978-1-4757-3922-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cellier, François E. Continuous System Modeling Engineering Mechanical Engineering Mathematical Modeling and Industrial Mathematics Appl.Mathematics/Computational Methods of Engineering Electrical Engineering Systems Theory, Control Calculus of Variations and Optimal Control; Optimization System theory Mathematical models Calculus of variations Applied mathematics Engineering mathematics Mechanical engineering Electrical engineering Kontinuierliches System (DE-588)4263504-4 gnd Kontinuumsphysik (DE-588)4165166-2 gnd Computersimulation (DE-588)4148259-1 gnd Dynamisches System (DE-588)4013396-5 gnd Simulation (DE-588)4055072-2 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4263504-4 (DE-588)4165166-2 (DE-588)4148259-1 (DE-588)4013396-5 (DE-588)4055072-2 (DE-588)4114528-8 |
| title | Continuous System Modeling |
| title_auth | Continuous System Modeling |
| title_exact_search | Continuous System Modeling |
| title_full | Continuous System Modeling by François E. Cellier |
| title_fullStr | Continuous System Modeling by François E. Cellier |
| title_full_unstemmed | Continuous System Modeling by François E. Cellier |
| title_short | Continuous System Modeling |
| title_sort | continuous system modeling |
| topic | Engineering Mechanical Engineering Mathematical Modeling and Industrial Mathematics Appl.Mathematics/Computational Methods of Engineering Electrical Engineering Systems Theory, Control Calculus of Variations and Optimal Control; Optimization System theory Mathematical models Calculus of variations Applied mathematics Engineering mathematics Mechanical engineering Electrical engineering Kontinuierliches System (DE-588)4263504-4 gnd Kontinuumsphysik (DE-588)4165166-2 gnd Computersimulation (DE-588)4148259-1 gnd Dynamisches System (DE-588)4013396-5 gnd Simulation (DE-588)4055072-2 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Engineering Mechanical Engineering Mathematical Modeling and Industrial Mathematics Appl.Mathematics/Computational Methods of Engineering Electrical Engineering Systems Theory, Control Calculus of Variations and Optimal Control; Optimization System theory Mathematical models Calculus of variations Applied mathematics Engineering mathematics Mechanical engineering Electrical engineering Kontinuierliches System Kontinuumsphysik Computersimulation Dynamisches System Simulation Mathematisches Modell |
| url | https://doi.org/10.1007/978-1-4757-3922-0 |
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