The Simulation Metamodel:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
1996
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study. The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study |
| Physical Description: | 1 Online-Ressource (XX, 202 p) |
| ISBN: | 9781461312994 9781461285564 |
| DOI: | 10.1007/978-1-4613-1299-4 |
Staff View
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| 500 | |a Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study. The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study | ||
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:07Z |
| institution | BVB |
| isbn | 9781461312994 9781461285564 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027856028 |
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| publishDate | 1996 |
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| publisher | Springer US |
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| spelling | Friedman, Linda Weiser Verfasser aut The Simulation Metamodel by Linda Weiser Friedman Boston, MA Springer US 1996 1 Online-Ressource (XX, 202 p) txt rdacontent c rdamedia cr rdacarrier Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study. The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study Mathematics Systems theory Mathematical optimization Systems Theory, Control Operations Research/Decision Theory Mathematical Modeling and Industrial Mathematics Optimization Mathematik https://doi.org/10.1007/978-1-4613-1299-4 Verlag Volltext |
| spellingShingle | Friedman, Linda Weiser The Simulation Metamodel Mathematics Systems theory Mathematical optimization Systems Theory, Control Operations Research/Decision Theory Mathematical Modeling and Industrial Mathematics Optimization Mathematik |
| title | The Simulation Metamodel |
| title_auth | The Simulation Metamodel |
| title_exact_search | The Simulation Metamodel |
| title_full | The Simulation Metamodel by Linda Weiser Friedman |
| title_fullStr | The Simulation Metamodel by Linda Weiser Friedman |
| title_full_unstemmed | The Simulation Metamodel by Linda Weiser Friedman |
| title_short | The Simulation Metamodel |
| title_sort | the simulation metamodel |
| topic | Mathematics Systems theory Mathematical optimization Systems Theory, Control Operations Research/Decision Theory Mathematical Modeling and Industrial Mathematics Optimization Mathematik |
| topic_facet | Mathematics Systems theory Mathematical optimization Systems Theory, Control Operations Research/Decision Theory Mathematical Modeling and Industrial Mathematics Optimization Mathematik |
| url | https://doi.org/10.1007/978-1-4613-1299-4 |
| work_keys_str_mv | AT friedmanlindaweiser thesimulationmetamodel |