Verification and validation in scientific computing:
Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and valida...
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| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UER01 Volltext |
| Zusammenfassung: | Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xiv, 767 pages) |
| ISBN: | 9780511760396 |
| DOI: | 10.1017/CBO9780511760396 |
Internformat
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| 505 | 8 | |a Machine generated contents note: Preface; 1. Introduction; Part I. Fundamental Concepts: 2. Fundamental concepts and terminology; 3. Modeling and computational simulation; Part II. Code Verification: 4. Software engineering; 5. Code verification; 6. Exact solutions; Part III. Solution Verification: 7. Solution verification; 8. Discretization error; 9. Solution adaptation; Part IV. Model Validation and Prediction: 10. Model validation fundamentals; 11. Design and execution of validation experiments; 12. Model accuracy assessment; 13. Predictive capability; Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation; 15. Maturity assessment of modeling and simulation; 16. Development and responsibilities for verification, validation and uncertainty quantification | |
| 520 | |a Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study | ||
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| 650 | 4 | |a Naturwissenschaft | |
| 650 | 4 | |a Science / Data processing | |
| 650 | 4 | |a Numerical calculations / Verification | |
| 650 | 4 | |a Computer programs / Validation | |
| 650 | 4 | |a Decision making / Mathematical models | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Oberkampf, William L. 1944- |
| author_GND | (DE-588)143325116 (DE-588)1058639994 |
| author_facet | Oberkampf, William L. 1944- |
| author_role | aut |
| author_sort | Oberkampf, William L. 1944- |
| author_variant | w l o wl wlo |
| building | Verbundindex |
| bvnumber | BV043944172 |
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| collection | ZDB-20-CBO |
| contents | Machine generated contents note: Preface; 1. Introduction; Part I. Fundamental Concepts: 2. Fundamental concepts and terminology; 3. Modeling and computational simulation; Part II. Code Verification: 4. Software engineering; 5. Code verification; 6. Exact solutions; Part III. Solution Verification: 7. Solution verification; 8. Discretization error; 9. Solution adaptation; Part IV. Model Validation and Prediction: 10. Model validation fundamentals; 11. Design and execution of validation experiments; 12. Model accuracy assessment; 13. Predictive capability; Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation; 15. Maturity assessment of modeling and simulation; 16. Development and responsibilities for verification, validation and uncertainty quantification |
| ctrlnum | (ZDB-20-CBO)CR9780511760396 (OCoLC)844957314 (DE-599)BVBBV043944172 |
| dewey-full | 502.85 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 502 - Miscellany |
| dewey-raw | 502.85 |
| dewey-search | 502.85 |
| dewey-sort | 3502.85 |
| dewey-tens | 500 - Natural sciences and mathematics |
| discipline | Allgemeine Naturwissenschaft Mathematik |
| doi_str_mv | 10.1017/CBO9780511760396 |
| format | Electronic eBook |
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| id | DE-604.BV043944172 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:21Z |
| institution | BVB |
| isbn | 9780511760396 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029353143 |
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| physical | 1 online resource (xiv, 767 pages) |
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| spelling | Oberkampf, William L. 1944- Verfasser (DE-588)143325116 aut Verification and validation in scientific computing William L. Oberkampf, Christopher J. Roy Verification & Validation in Scientific Computing Cambridge Cambridge University Press 2010 1 online resource (xiv, 767 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Preface; 1. Introduction; Part I. Fundamental Concepts: 2. Fundamental concepts and terminology; 3. Modeling and computational simulation; Part II. Code Verification: 4. Software engineering; 5. Code verification; 6. Exact solutions; Part III. Solution Verification: 7. Solution verification; 8. Discretization error; 9. Solution adaptation; Part IV. Model Validation and Prediction: 10. Model validation fundamentals; 11. Design and execution of validation experiments; 12. Model accuracy assessment; 13. Predictive capability; Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation; 15. Maturity assessment of modeling and simulation; 16. Development and responsibilities for verification, validation and uncertainty quantification Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study Datenverarbeitung Mathematisches Modell Naturwissenschaft Science / Data processing Numerical calculations / Verification Computer programs / Validation Decision making / Mathematical models Wissenschaftliches Rechnen (DE-588)4338507-2 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Validierung (DE-588)4187357-9 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Verifikation (DE-588)4135577-5 gnd rswk-swf Wissenschaftliches Rechnen (DE-588)4338507-2 s Mathematisches Modell (DE-588)4114528-8 s Simulation (DE-588)4055072-2 s Verifikation (DE-588)4135577-5 s Validierung (DE-588)4187357-9 s 1\p DE-604 Roy, Christopher J. Sonstige (DE-588)1058639994 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-521-11360-1 https://doi.org/10.1017/CBO9780511760396 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Oberkampf, William L. 1944- Verification and validation in scientific computing Machine generated contents note: Preface; 1. Introduction; Part I. Fundamental Concepts: 2. Fundamental concepts and terminology; 3. Modeling and computational simulation; Part II. Code Verification: 4. Software engineering; 5. Code verification; 6. Exact solutions; Part III. Solution Verification: 7. Solution verification; 8. Discretization error; 9. Solution adaptation; Part IV. Model Validation and Prediction: 10. Model validation fundamentals; 11. Design and execution of validation experiments; 12. Model accuracy assessment; 13. Predictive capability; Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation; 15. Maturity assessment of modeling and simulation; 16. Development and responsibilities for verification, validation and uncertainty quantification Datenverarbeitung Mathematisches Modell Naturwissenschaft Science / Data processing Numerical calculations / Verification Computer programs / Validation Decision making / Mathematical models Wissenschaftliches Rechnen (DE-588)4338507-2 gnd Simulation (DE-588)4055072-2 gnd Validierung (DE-588)4187357-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Verifikation (DE-588)4135577-5 gnd |
| subject_GND | (DE-588)4338507-2 (DE-588)4055072-2 (DE-588)4187357-9 (DE-588)4114528-8 (DE-588)4135577-5 |
| title | Verification and validation in scientific computing |
| title_alt | Verification & Validation in Scientific Computing |
| title_auth | Verification and validation in scientific computing |
| title_exact_search | Verification and validation in scientific computing |
| title_full | Verification and validation in scientific computing William L. Oberkampf, Christopher J. Roy |
| title_fullStr | Verification and validation in scientific computing William L. Oberkampf, Christopher J. Roy |
| title_full_unstemmed | Verification and validation in scientific computing William L. Oberkampf, Christopher J. Roy |
| title_short | Verification and validation in scientific computing |
| title_sort | verification and validation in scientific computing |
| topic | Datenverarbeitung Mathematisches Modell Naturwissenschaft Science / Data processing Numerical calculations / Verification Computer programs / Validation Decision making / Mathematical models Wissenschaftliches Rechnen (DE-588)4338507-2 gnd Simulation (DE-588)4055072-2 gnd Validierung (DE-588)4187357-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Verifikation (DE-588)4135577-5 gnd |
| topic_facet | Datenverarbeitung Mathematisches Modell Naturwissenschaft Science / Data processing Numerical calculations / Verification Computer programs / Validation Decision making / Mathematical models Wissenschaftliches Rechnen Simulation Validierung Verifikation |
| url | https://doi.org/10.1017/CBO9780511760396 |
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