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Uncertainty Quantification
Ralph C. Smith
其他書名
Theory, Implementation, and Applications
出版SIAM, 2013-12-02
主題Science / Physics / Mathematical & ComputationalMathematics / Probability & Statistics / GeneralComputers / Computer SimulationMathematics / Applied
ISBN161197321X9781611973211
URLhttp://books.google.com.hk/books?id=4c1GAgAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.