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Title: Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization

Journal Article · · SIAM/ASA Journal on Uncertainty Quantification
DOI:https://doi.org/10.1137/16M1086613· OSTI ID:1441483
 [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Philipps-Universitat Marburg (Germany). FB12 Mathematik und Informatik

Uncertainty is ubiquitous in virtually all engineering applications, and, for such problems, it is inadequate to simulate the underlying physics without quantifying the uncertainty in unknown or random inputs, boundary and initial conditions, and modeling assumptions. Here in this paper, we introduce a general framework for analyzing risk-averse optimization problems constrained by partial differential equations (PDEs). In particular, we postulate conditions on the random variable objective function as well as the PDE solution that guarantee existence of minimizers. Furthermore, we derive optimality conditions and apply our results to the control of an environmental contaminant. Lastly, we introduce a new risk measure, called the conditional entropic risk, that fuses desirable properties from both the conditional value-at-risk and the entropic risk measures.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); Defense Advanced Research Projects Agency (DARPA)
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1441483
Report Number(s):
SAND-2018-5345J; 663230
Journal Information:
SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, Issue 2; ISSN 2166-2525
Publisher:
SIAMCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 28 works
Citation information provided by
Web of Science

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Spectral risk measures: the risk quadrangle and optimal approximation journal May 2018

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