Continuous System Simulation:
obtained by simulation more quickly, effec Computer simulation of dynamic systems is a topic which is growing steadily in importance tively and cheaply than by experimentation and testing of the real system. System perfor in the physical sciences, engineering, biology and medicine. The reasons for...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
1995
|
| Subjects: | |
| Links: | https://doi.org/10.1007/978-1-4615-2504-2 https://doi.org/10.1007/978-1-4615-2504-2 |
| Summary: | obtained by simulation more quickly, effec Computer simulation of dynamic systems is a topic which is growing steadily in importance tively and cheaply than by experimentation and testing of the real system. System perfor in the physical sciences, engineering, biology and medicine. The reasons for this trend mance can also be investigated using simula relate not only to the steadily increasing tion for a much wider range of conditions than can be contemplated for the real system power of computers and the rapidly falling costs of hardware, but also to the availability because of operating constraints or safety of appropriate software tools in the form of requirements. Similar factors can apply in simulation languages. Problem-oriented lan other fields, such as biomedical systems guages of this kind assist those who are not engineering. specialists in computational methods to trans System simulation, using digital computers, can relate either to models based on continu late a mathematical description into a simula tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag Continuous system simulation techniques are applied to systems described by sets of differ nostic information when difficulties are encountered. Therefore, a simulation lan ential equations and algebraic equations |
| Physical Description: | 1 Online-Ressource (XIII, 255 p) |
| ISBN: | 9781461525042 |
| DOI: | 10.1007/978-1-4615-2504-2 |
Staff View
MARC
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| id | DE-604.BV045185271 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:20:09Z |
| institution | BVB |
| isbn | 9781461525042 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574449 |
| oclc_num | 1053845576 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XIII, 255 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Springer US |
| record_format | marc |
| spelling | Murray-Smith, D. J. Verfasser aut Continuous System Simulation by D. J. Murray-Smith Boston, MA Springer US 1995 1 Online-Ressource (XIII, 255 p) txt rdacontent c rdamedia cr rdacarrier obtained by simulation more quickly, effec Computer simulation of dynamic systems is a topic which is growing steadily in importance tively and cheaply than by experimentation and testing of the real system. System perfor in the physical sciences, engineering, biology and medicine. The reasons for this trend mance can also be investigated using simula relate not only to the steadily increasing tion for a much wider range of conditions than can be contemplated for the real system power of computers and the rapidly falling costs of hardware, but also to the availability because of operating constraints or safety of appropriate software tools in the form of requirements. Similar factors can apply in simulation languages. Problem-oriented lan other fields, such as biomedical systems guages of this kind assist those who are not engineering. specialists in computational methods to trans System simulation, using digital computers, can relate either to models based on continu late a mathematical description into a simula tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag Continuous system simulation techniques are applied to systems described by sets of differ nostic information when difficulties are encountered. Therefore, a simulation lan ential equations and algebraic equations Engineering Signal, Image and Speech Processing Mathematical Modeling and Industrial Mathematics Mathematical models Dynamisches System (DE-588)4013396-5 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Computersimulation (DE-588)4148259-1 s Dynamisches System (DE-588)4013396-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781461360667 https://doi.org/10.1007/978-1-4615-2504-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Murray-Smith, D. J. Continuous System Simulation Engineering Signal, Image and Speech Processing Mathematical Modeling and Industrial Mathematics Mathematical models Dynamisches System (DE-588)4013396-5 gnd Computersimulation (DE-588)4148259-1 gnd |
| subject_GND | (DE-588)4013396-5 (DE-588)4148259-1 |
| title | Continuous System Simulation |
| title_auth | Continuous System Simulation |
| title_exact_search | Continuous System Simulation |
| title_full | Continuous System Simulation by D. J. Murray-Smith |
| title_fullStr | Continuous System Simulation by D. J. Murray-Smith |
| title_full_unstemmed | Continuous System Simulation by D. J. Murray-Smith |
| title_short | Continuous System Simulation |
| title_sort | continuous system simulation |
| topic | Engineering Signal, Image and Speech Processing Mathematical Modeling and Industrial Mathematics Mathematical models Dynamisches System (DE-588)4013396-5 gnd Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Engineering Signal, Image and Speech Processing Mathematical Modeling and Industrial Mathematics Mathematical models Dynamisches System Computersimulation |
| url | https://doi.org/10.1007/978-1-4615-2504-2 |
| work_keys_str_mv | AT murraysmithdj continuoussystemsimulation |