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Bibliography file:
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Belief functions and probabilistic
thinking.
Technical report, Los Alamos National Laboratory, New Mexico, USA, Sept.
2004.
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Statistical analysis of cfd solutions from 2nd
drag prediction workshop.
In AIAA Aerospace Sciences Meeting and Exhibit, volume 42nd,
page 31, Jan. 2004.
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Cox.
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Automatic propagation of uncertainties.
Technical report, Numerical Optimization Center, 2004.
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Modeling uncertainty in flow simulations via generalized
polynomial chaos.
Journal of Computational Physics, 187 pp. 137-167, 2003.
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and Francoise Bataille.
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Uncertainty propagation for turbulent, compressible
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In AIAA Computational Fluid Dynamics Conference, volume 16th, June
2003.
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Uncertainty in computational aerodynamics.
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Darmofal.
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Impact of geometric variability
on axial compressor performance.
125(4) pp. 692-703, Oct. 2003.
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Calculation of uncertainty propagation using
adjoint equations.
International Journal of Computational Fluid Dynamics, 17(4)
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Uncertainty analysis for fluid mechanics with
applications.
Technical report, NASA, Feb. 2002.
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Effect of random geometric uncertainty on the
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In AIAA Applied Aerodynamics Conference, volume 20th, June 2002.
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Probabilistic Aerothermal Design of Compressor
Airfoils.
PhD thesis, Dept. of Aeronautics and Astronautics, 2002.
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L.L. Green.
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Approach for uncertainty propagation and robust design in cfd
using sensitivity derivatives.
In AIAA CFD Conference, volume 15th, 2001.
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Illustration of sampling-based
methods for uncertainty and sensitivity analysis.
Technical report, Dept. of Mathematics, Sept. 2001.
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Statistical analysis of manufacturing deviations and
classification methods for probabilistic aerothermal design of turbine
blades.
Master's thesis, Dept. of Aeronautics and Astronautics, August 2000.
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Adjoint recovery of superconvergent functionals from pde approximations.
SIAM Review, 42(2) pp. 247-264, 2000.
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management in multidisciplinary analysis and synthesis.
In AIAA Aerospace Sciences Meeting and Exhibit, volume 38, Jan 2000.
Good survey about the various methodologies used approximate Monte Carlo
simulations. From ASDL, Gatech.
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A survey of probabilistic methods used in reliability, risk and
uncertainty analysis: Analytical techniques i.
Technical Report SAND98-1189, Sandia National Laboratories, Albuquerque, New
Mexico, USA, June 1998.
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