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IntechOpen Uncertainty Quantification and Model Calibration

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Description
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.

Product Specifications
Brand
IntechOpen
Format
paperback
ASIN
9535132792
Category
Books > Subjects > Computing & Internet > Computer Science
Domain
Amazon UK
Release Date
05 July 2017
Listed Since
06 September 2017

Barcode

No barcode data available

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