Year |
Citation |
Score |
2016 |
Cheung SH, Miki K, Prudencio E, Simmons C. Uncertainty quantification and robust predictive system analysis for high temperature kinetics of HCN/O2/Ar mixture Chemical Physics. 475: 136-152. DOI: 10.1016/J.Chemphys.2016.05.026 |
0.33 |
|
2014 |
Prudencio EE, Bauman PT, Williams SV, Faghihi D, Ravi-Chandar K, Oden JT. Real-time inference of stochastic damage in composite materials Composites Part B: Engineering. 67: 209-219. DOI: 10.1016/J.Compositesb.2014.07.004 |
0.325 |
|
2013 |
Oden JT, Prudencio EE, Hawkins-Daarud A. Selection and assessment of phenomenological models of tumor growth Mathematical Models and Methods in Applied Sciences. 23: 1309-1338. DOI: 10.1142/S0218202513500103 |
0.327 |
|
2013 |
Miki K, Prudencio EE, Cheung SH, Terejanu G. Using Bayesian analysis to quantify uncertainties in the H+O2→OH+O reaction Combustion and Flame. 160: 861-869. DOI: 10.1016/J.Combustflame.2013.01.020 |
0.325 |
|
2013 |
Oden JT, Prudencio EE, Bauman PT. Virtual model validation of complex multiscale systems: Applications to nonlinear elastostatics Computer Methods in Applied Mechanics and Engineering. 266: 162-184. DOI: 10.1016/J.Cma.2013.07.011 |
0.311 |
|
2012 |
Prudencio EE, Cheung SH. Parallel Adaptive Multilevel Sampling Algorithms For The Bayesian Analysis Of Mathematical Models International Journal For Uncertainty Quantification. 2: 215-237. DOI: 10.1615/Int.J.Uncertaintyquantification.2011003499 |
0.396 |
|
2012 |
Miki K, Panesi M, Prudencio EE, Prudhomme S. Estimation of the nitrogen ionization reaction rate using electric arc shock tube data and Bayesian model analysis Physics of Plasmas. 19. DOI: 10.1063/1.3684598 |
0.362 |
|
2012 |
Miki K, Panesi M, Prudencio EE, Prudhomme S. Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen Journal of Computational Physics. 231: 3871-3886. DOI: 10.1016/J.Jcp.2012.01.005 |
0.347 |
|
2012 |
Yang H, Prudencio EE, Cai XC. Fully implicit Lagrange-Newton-Krylov-Schwarz algorithms for boundary control of unsteady incompressible flows International Journal For Numerical Methods in Engineering. 91: 644-665. DOI: 10.1002/Nme.4286 |
0.546 |
|
2012 |
Miki K, Cheung SH, Prudencio EE, Varghese PL. Bayesian uncertainty quantification of recent shock tube determinations of the rate coefficient of reaction H + O 2â OH + O International Journal of Chemical Kinetics. 44: 586-597. DOI: 10.1002/Kin.20736 |
0.313 |
|
2011 |
Cheung SH, Oliver TA, Prudencio EE, Prudhomme S, Moser RD. Bayesian uncertainty analysis with applications to turbulence modeling Reliability Engineering and System Safety. 96: 1137-1149. DOI: 10.1016/J.Ress.2010.09.013 |
0.303 |
|
2008 |
Ng C, Akcelik V, Candel A, Chen S, Ge L, Kabel A, Lee LQ, Li Z, Prudencio E, Schussman G, Uplenchwar R, Xiao L, Ko K, Austin T, Cary JR, et al. Design and optimization of large accelerator systems through high-fidelity electromagnetic simulations Journal of Physics: Conference Series. 125. DOI: 10.1088/1742-6596/125/1/012003 |
0.514 |
|
2007 |
Prudencio EE, Cai XC. Parallel multilevel restricted Schwarz preconditioners with pollution removing for PDE-constrained optimization Siam Journal On Scientific Computing. 29: 964-985. DOI: 10.1137/050635663 |
0.536 |
|
2007 |
Prudencio EE, Cai XC. Robust Multilevel Restricted Schwarz Preconditioners and Applications Lecture Notes in Computational Science and Engineering. 55: 155-162. |
0.338 |
|
2006 |
Prudencio EE, Byrd R, Cai X. Parallel Full Space SQP Lagrange--Newton--Krylov--Schwarz Algorithms for PDE-Constrained Optimization Problems Siam Journal On Scientific Computing. 27: 1305-1328. DOI: 10.1137/040602997 |
0.546 |
|
2005 |
Prudencio E, Byrd R, Cai XC. Domain decomposition methods for PDE constrained optimization problems Lecture Notes in Computer Science. 3402: 569-582. |
0.362 |
|
Show low-probability matches. |