E. Prudencio

发表

Domain Decomposition Methods for PDE Constrained Optimization Problems

Xiao-Chuan Cai, Richard H. Byrd, Ernesto E. Prudencio, 2004, VECPAR.

Parallel Full Space SQP Lagrange-Newton-Krylov-Schwarz Algorithms for PDE-Constrained Optimization Problems

Xiao-Chuan Cai, Richard H. Byrd, Ernesto E. Prudencio, 2005, SIAM J. Sci. Comput..

Bayesian uncertainty quantification of recent shock tube determinations of the rate coefficient of reaction H + O2 OH + O

S. Cheung, E. Prudencio, K. Miki, 2012 .

Fully implicit Lagrange–Newton–Krylov–Schwarz algorithms for boundary control of unsteady incompressible flows

E. Prudencio, Xiao-Chuan Cai, Haijian Yang, 2012 .

Robust Multilevel Restricted Schwarz Preconditioners and Applications

E. Prudencio, Xiao-Chuan Cai, 2007 .

Probabilistic Models and Uncertainty Quantification for the Ionization Reaction Rate of Atomic Nitrogen

E. Prudencio, S. Prudhomme, K. Miki, 2011 .

Calibration of rates parameters for multi-temperature models using Bayesian formulation

K. Schulz, E. Prudencio, S. Prudhomme, 2011 .

The QUESO Library, User's Manual

Kemelli C. Estacio-Hiroms, N. Malaya, E. Prudencio, 2016, 1611.07521.

Uncertainty Quantification and Data Assimilation ( UQ / DA ) Study on a VERA Core Simulator Component for CRUD Analysis

Mami T. Wentworth, E. Prudencio, H. Abdel-Khalik, 2013 .

Real-time inference of stochastic damage in composite materials

Paul T. Bauman, Ernesto E. Prudencio, Danial Faghihi, 2014 .

The use of Bayes' formula in calibration, ranking, averaging, filtering, optimal design of experiments, and emulation with Gaussian processes.

E. Prudencio, 2013 .

Uncertainty quantification and robust predictive system analysis for high temperature kinetics of HCN/O 2 /Ar mixture

Sai Hung Cheung, Ernesto E. Prudencio, Kenji Miki, 2016 .

Using Bayesian analysis to quantify uncertainties in the H + O2 → OH + O reaction

Sai Hung Cheung, Gabriel Terejanu, Ernesto E. Prudencio, 2013 .

A computational framework for dynamic data‐driven material damage control, based on Bayesian inference and model selection

Paul T. Bauman, Ernesto E. Prudencio, Danial Faghihi, 2015 .

The Parallel C++ Statistical Library 'QUESO': Quantification of Uncertainty for Estimation, Simulation and Optimization

Karl W. Schulz, Ernesto E. Prudencio, K. Schulz, 2011, Euro-Par Workshops.

SELECTION AND ASSESSMENT OF PHENOMENOLOGICAL MODELS OF TUMOR GROWTH

J. Tinsley Oden, Ernesto E. Prudencio, Andrea Hawkins-Daarud, 2013 .

On the (in)validation of a thermochemical model with EAST shock tube radiation measurements

Karl Schulz, David B. Goldstein, Serge Prudhomme, 2010 .

Estimation of the nitrogen ionization reaction rate using electric arc shock tube data and Bayesian model analysis

Serge Prudhomme, Marco Panesi, Ernesto E. Prudencio, 2012 .

Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen

Serge Prudhomme, Marco Panesi, Ernesto E. Prudencio, 2011, J. Comput. Phys..

Virtual model validation of complex multiscale systems: Applications to nonlinear elastostatics

J. Tinsley Oden, Paul T. Bauman, Ernesto E. Prudencio, 2013 .

Bayesian uncertainty analysis with applications to turbulence modeling

Sai Hung Cheung, Todd A. Oliver, Robert D. Moser, 2011, Reliab. Eng. Syst. Saf..

PARALLEL ADAPTIVE MULTILEVEL SAMPLING ALGORITHMS FOR THE BAYESIAN ANALYSIS OF MATHEMATICAL MODELS

Sai Hung Cheung, Ernesto E. Prudencio, S. Cheung, 2012 .

A Dynamic Data Driven Application System for Real-time Monitoring of Stochastic Damage

J. Tinsley Oden, Paul T. Bauman, Danial Faghihi, 2013, ICCS.

Parallel Multilevel Restricted Schwarz Preconditioners with Pollution Removing for PDE-Constrained Optimization

Xiao-Chuan Cai, Ernesto E. Prudencio, E. Prudencio, 2007, SIAM J. Sci. Comput..