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Polynomial chaos
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11	Steven L. Brunton Assistant Professor Mechanical Engineering Department University of Washington http://faculty.washington.edu/sbrunton/ Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2014-09-02 00:17:22 Polynomial chaos American Institute of Aeronautics and Astronautics Engineering
12	egu_logo_without_circle_grey Add to Reading List Source URL: www.nat-hazards-earth-syst-sci-discuss.net Language: English - Date: 2014-12-04 12:48:25 Firefighting Mathematical modeling Wildfire modeling Wildfires Wildland fire suppression Estimation theory Wildfire Economic model Polynomial chaos Statistics Science Applied mathematics
13	Steps Towards Uncertainty Assessment for Calculated Atomic and Molecular Data B. J. Braams and H.-K. Chung Nuclear Data Section, Division of Physical and Chemical Sciences (NAPC) International Atomic Energy Agency, A-140 Add to Reading List Source URL: www-amdis.iaea.org Language: English - Date: 2015-02-13 07:46:15 Numerical analysis Measurement Operations research Uncertainty quantification Uncertainty Monte Carlo method Polynomial chaos Propagation of uncertainty Introduction to quantum mechanics Statistics Probability and statistics Mathematical sciences
14	UQ12 Abstracts 61 IP1 Sparse Tensor Algorithms in Uncertainty Quantiﬁcation Add to Reading List Source URL: www.siam.org Language: English - Date: 2012-03-21 10:29:13 Statistical randomness Scientific modeling Computational science Bayesian statistics Operations research Polynomial chaos Sensitivity analysis Monte Carlo method Kalman filter Statistics Science Probability and statistics
15	PDF Document Add to Reading List Source URL: www.purdue.edu Language: English Measurement Probability and statistics DAKOTA Probability interpretations Polynomial chaos Mathematical optimization Uncertainty Collocation method Stochastic Statistics Operations research Mathematical sciences
16	A Unified Framework for Uncertainty and Sensitivity Analysis of Computational Models with Many Input Parameters C. F. Jeff Wu H. Milton Stewart School of Industrial and Systems Engineering Add to Reading List Source URL: www.iaria.org Language: English - Date: 2014-11-05 14:10:33 Process management Scientific modeling Sensitivity analysis Polynomial chaos Uncertainty analysis Regression analysis Monte Carlo method Statistics Probability and statistics Measurement
17	Applications of the Stochastic Response Surface Method Computationally Efficient Uncertainty Propagation and Reduction Using the Stochastic Response Surface Method S. S. Isukapalli, S. Balakrishnan, and P. G. Georgopoul Add to Reading List Source URL: ccl.rutgers.edu Language: English - Date: 2005-06-07 14:33:55 Actuarial science Statistical randomness Econometrics Quality Polynomial chaos Regression analysis Response surface methodology Stochastic Economic model Statistics Probability and statistics Statistical methods
18	Available online at www.sciencedirect.com Procedia Computer Science[removed] – 1099 International Conference on Computational Science, ICCS 2012 Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-02-17 13:43:29 Atmospheric sciences Puff model Atmospheric dispersion modeling Eruption column Volcanic Ash Advisory Center NAME Weather forecasting Volcanic ash Polynomial chaos Air dispersion modeling Earth Atmosphere
19	Performance Evaluation of Generalized Polynomial Chaos Dongbin Xiu, Didier Lucor, C.-H. Su, and George Em Karniadakis1 Division of Applied Mathematics, Brown University, Providence, RI 02912, USA, [removed] Add to Reading List Source URL: www.dddas.org Language: English - Date: 2014-06-21 04:28:38 Mathematics Polynomials Polynomial chaos Differential equations Normal distribution Hermite polynomials Polynomial Stochastic differential equation Orthogonality Statistics Mathematical analysis Stochastic processes
20	Overview of Uncertainty Quantification Algorithm R&D in the DAKOTA Project Michael S. Eldred Optimization and Uncertainty Quantification Dept. Sandia National Laboratories, Albuquerque, NM NIST UQ Workshop Add to Reading List Source URL: math.nist.gov Language: English - Date: 2011-08-15 13:45:36 Probability and statistics Monte Carlo methods DAKOTA Mathematical optimization Polynomial chaos Uncertainty quantification Sensitivity analysis Reliability Stochastic Statistics Operations research Mathematical sciences

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