Hybrid optimization and Bayesian inference techniques for a non-smooth radiation detection problem-Reference-Cited by-同舟云学术

Hybrid optimization and Bayesian inference techniques for a non-smooth radiation detection problem

Published:2017-02-06 Issue:10 Volume:111 Page:955-982
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Ştefănescu Răzvan¹,Schmidt Kathleen¹,Hite Jason²,Smith Ralph C.¹,Mattingly John²

Affiliation:

1. Department of Mathematics; North Carolina State University; Raleigh NC USA

2. Department of Nuclear Engineering; North Carolina State University; Raleigh NC USA

Funder

Department of Energy National Nuclear Security Administration NNSA Consortium for Nonproliferation Enabling Capabilities (CNEC)

Prof. Michael Navon Mallory McMahon

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Reference66 articles.

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3. Rao NS Shankar M Chin JC Yau DK Srivathsan S Iyengar SS Yang Y Hou JC Identification of low-level point radiation sources using a sensor network Information Processing in Sensor Networks, 2008. IPSN'08. International Conference on IEEE 2008 493 504

4. Shekhawat K Bhattacharya S Roy K Nuclear data assimilation and analysis using Kalman filter for radiation source search application Proceedings of the DAE-BRNS National Symposium on Nuclear Instrumentation-2013: invited talks and contributory papers 2013

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