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  1. Uncertainty Quantification. [electronic resource]

    Washington, D.C. : United States. National Nuclear Security Administration ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2011

    Abstract not provided.

    Online OSTI

  2. Uncertainty Quantification [electronic resource] : Introduction

    Washington, D.C. : United States. National Nuclear Security Administration ; Oak Ridge, Tenn. : distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2011

    Abstract not provided.

    Online OSTI

  3. Uncertainty quantification : an accelerated course with advanced applications in computational engineering

    Soize, Christian
    Cham, Switzerland : Springer, 2017.

    This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a stochastic model of uncertainty when experimental data is available.

    Online SpringerLink

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