Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries

doi:10.1137/17m112230x

Title: Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries

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Abstract

Not provided.

Authors:

; Burch, Nathanial;

Publication Date:: 2018-01-01

Research Org.:: Colorado State Univ., Fort Collins, CO (United States); Florida State Univ., Tallahassee, FL (United States)

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 1541727

DOE Contract Number:: FC02-07ER54909; FG02-04ER25620; FG02-05ER25699; SC0001724; SC0005304; SC0009324

Resource Type:: Journal Article

Journal Name:: SIAM/ASA Journal on Uncertainty Quantification

Additional Journal Information:: Journal Volume: 6; Journal Issue: 3; Journal ID: ISSN 2166-2525

Publisher:: SIAM

Country of Publication:: United States

Language:: English

Subject:: Mathematics; Physics

Citation Formats


                    Chaudhry, Jehanzeb H., Burch, Nathanial, and Estep, Donald. Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries.  United States: N. p., 2018. 
        Web.  doi:10.1137/17m112230x.

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                    Chaudhry, Jehanzeb H., Burch, Nathanial, & Estep, Donald. Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries.  United States.  doi:10.1137/17m112230x.

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                    Chaudhry, Jehanzeb H., Burch, Nathanial, and Estep, Donald. Mon .  
        "Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries".  United States.  doi:10.1137/17m112230x.

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@article{osti_1541727,

  title        = {Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries},

  author       = {Chaudhry, Jehanzeb H. and Burch, Nathanial and Estep, Donald},

  abstractNote = {Not provided.},

  doi          = {10.1137/17m112230x},

  journal      = {SIAM/ASA Journal on Uncertainty Quantification},

  issn         = {2166-2525},

  number       = 3,

  volume       = 6,

  place        = {United States},

  year         = {2018},

  month        = {1}

}

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DOI: 10.1137/17m112230x

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