Uncertainty Quantification Methods For Model Calibration Validation And Risk Analysis PDF Download
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Author | : |
Publisher | : |
Total Pages | : 16 |
Release | : 2013 |
Genre | : |
ISBN | : |
Download Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis Book in PDF, ePub and Kindle
Author | : Haris Doukas |
Publisher | : Springer |
Total Pages | : 271 |
Release | : 2018-12-10 |
Genre | : Business & Economics |
ISBN | : 3030031527 |
Download Understanding Risks and Uncertainties in Energy and Climate Policy Book in PDF, ePub and Kindle
This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.
Author | : Jan Peter Hessling |
Publisher | : BoD – Books on Demand |
Total Pages | : 228 |
Release | : 2017-07-05 |
Genre | : Computers |
ISBN | : 9535132792 |
Download Uncertainty Quantification and Model Calibration Book in PDF, ePub and Kindle
Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.
Author | : Joshua Mullins |
Publisher | : |
Total Pages | : 129 |
Release | : 2014 |
Genre | : Electronic dissertations |
ISBN | : |
Download Resource Allocation for Uncertainty Quantification and Reduction Book in PDF, ePub and Kindle
Author | : Keith J Beven |
Publisher | : World Scientific |
Total Pages | : 685 |
Release | : 2014-01-13 |
Genre | : Technology & Engineering |
ISBN | : 1783263121 |
Download Applied Uncertainty Analysis For Flood Risk Management Book in PDF, ePub and Kindle
This volume provides an introduction for flood risk management practitioners, up-to-date methods for analysis of uncertainty and its use in risk-based decision making. It addresses decision making for both short-term (real-time forecasting) and long-term (flood risk planning under change) situations. It aims primarily at technical practitioners involved in flood risk analysis and flood warning, including hydrologists, engineers, flood modelers, risk analysts and those involved in the design and operation of flood warning systems. Many experienced practitioners are now expected to modify their way of working to fit into the new philosophy of flood risk management. This volume helps them to undertake that task with appropriate attention to the surrounding uncertainties. The book will also interest and benefit researchers and graduate students hoping to improve their knowledge of modern uncertainty analysis.
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 144 |
Release | : 2012-07-26 |
Genre | : Mathematics |
ISBN | : 0309256348 |
Download Assessing the Reliability of Complex Models Book in PDF, ePub and Kindle
Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.
Author | : Ralph C. Smith |
Publisher | : SIAM |
Total Pages | : 400 |
Release | : 2013-12-02 |
Genre | : Computers |
ISBN | : 1611973228 |
Download Uncertainty Quantification Book in PDF, ePub and Kindle
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.
Author | : You Ling |
Publisher | : |
Total Pages | : 205 |
Release | : 2013 |
Genre | : Electronic dissertations |
ISBN | : |
Download Uncertainty Quantification in Time-dependent Reliability Analysis Book in PDF, ePub and Kindle
Author | : Robert Barthorpe |
Publisher | : Springer |
Total Pages | : 368 |
Release | : 2017-06-07 |
Genre | : Technology & Engineering |
ISBN | : 3319548581 |
Download Model Validation and Uncertainty Quantification, Volume 3 Book in PDF, ePub and Kindle
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Uncertainty Quantification in Material Models Uncertainty Propagation in Structural Dynamics Practical Applications of MVUQ Advances in Model Validation & Uncertainty Quantification: Model Updating Model Validation & Uncertainty Quantification: Industrial Applications Controlling Uncertainty Uncertainty in Early Stage Design Modeling of Musical Instruments Overview of Model Validation and Uncertainty
Author | : Roger Ghanem |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-05-08 |
Genre | : Mathematics |
ISBN | : 9783319123844 |
Download Handbook of Uncertainty Quantification Book in PDF, ePub and Kindle
The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.