Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948234059902882
    Format: 1 online resource (xiv, 767 pages) : , digital, PDF file(s).
    ISBN: 9780511760396 (ebook)
    Content: 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.
    Note: 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.
    Additional Edition: Print version: ISBN 9780521113601
    Language: English
    Subjects: Mathematics
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    UID:
    b3kat_BV036959871
    Format: XIV, 767 S. , Diagramme
    Edition: 1. publ.
    ISBN: 9780521113601 , 0521113601
    Note: Hier auch später erschienene, unveränderte Nachdrucke
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Wissenschaftliches Rechnen ; Mathematisches Modell ; Simulation ; Verifikation ; Validierung
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Book
    Book
    Cambridge [u.a.] : Cambridge Univ. Press
    UID:
    kobvindex_GFZ742699579
    Format: XIV, 767 S. , Ill., graph. Darst.
    ISBN: 9780521113601 (hardback)
    Note: Literaturangaben , 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; Appendix. Programming practices; Index..
    Language: English
    Subjects: Mathematics
    RVK:
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    New York :Cambridge University Press,
    UID:
    edocfu_9960119917202883
    Format: 1 online resource (xiv, 767 pages) : , digital, PDF file(s).
    ISBN: 9780511905445 , 1-107-21265-0 , 1-139-81376-5 , 0-511-76039-6 , 1-283-05539-2 , 9786613055392 , 0-511-90875-X , 0-511-90800-8 , 0-511-90672-2 , 0-511-90544-0
    Content: "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"--
    Note: Includes index. , 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; Appendix. Programming practices; Index. , English
    Additional Edition: ISBN 0-521-11360-1
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Did you mean 9780521111201?
Did you mean 9780521113014?
Did you mean 9780521113304?
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages