Search Results - "Marzouk, Y. M."

Localization for MCMC: sampling high-dimensional posterior distributions with local structure by Morzfeld, M., Tong, X.T., Marzouk, Y.M.

“…We investigate how ideas from covariance localization in numerical weather prediction can be used in Markov chain Monte Carlo (MCMC) sampling of…”
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Bayesian reconstruction of binary media with unresolved fine-scale spatial structures by Ray, J., McKenna, S.A., van Bloemen Waanders, B., Marzouk, Y.M.

“…► We reconstruct of a binary medium from sparse static and dynamic measurements. ► The medium consists of unresolved inclusions in a matrix, upscaled by a new…”
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Uncertainty quantification in chemical systems by Najm, H. N., Debusschere, B. J., Marzouk, Y. M., Widmer, S., Le Maître, O. P.

“…We demonstrate the use of multiwavelet spectral polynomial chaos techniques for uncertainty quantification in non‐isothermal ignition of a methane–air system…”
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A Bayesian approach for estimating bioterror attacks from patient data by Ray, J., Marzouk, Y. M., Najm, H. N.

“…Terrorist attacks using an aerosolized pathogen have gained credibility as a national security concern after the anthrax attacks of 2001. Inferring some…”
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Asymmetric autocorrelation function to resolve directional ambiguity in PIV images by MARZOUK, Y. M, HART, D. P

“…Autocorrelation of a double-exposed image, unlike cross-correlation between two images, produces a correlation function that is symmetric about the origin…”
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Dynamic response of strained premixed flames to equivalence ratio gradients by Marzouk, Y.M., Ghoniem, A.F., Najm, H.N.

“…Premixed flames encounter gradients of mixture equivalence ratio in stratified charge engines, lean premixed gas-turbine engines, and a variety of other…”
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Erratum: Uncertainty quantification in chemical systems by Najm, H. N., Debusschere, B. J., Marzouk, Y. M., Widmer, S., Le Maître, O. P.

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Uncertainty quantification in chemical systems: Uncertainty Quantification in Computational and Prediction Science by NAJM, H. N, DEBUSSCHERE, B. J, MARZOUK, Y. M, WIDMER, S, LE MAITRE, O. P

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure by Tong, X. T, Morzfeld, M, Marzouk, Y. M

“…Markov chain Monte Carlo (MCMC) samplers are numerical methods for drawing samples from a given target probability distribution. We discuss one particular MCMC…”
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K-means clustering for optimal partitioning and dynamic load balancing of parallel hierarchical N-body simulations by Marzouk, Youssef M., Ghoniem, Ahmed F.

“…A number of complex physical problems can be approached through N-body simulation, from fluid flow at high Reynolds number to gravitational astrophysics and…”
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NOWPAC: A provably convergent derivative-free nonlinear optimizer with path-augmented constraints by Augustin, F, Marzouk, Y. M

“…This paper proposes the algorithm NOWPAC (Nonlinear Optimization With Path-Augmented Constraints) for nonlinear constrained derivative-free optimization. The…”
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A trust-region method for derivative-free nonlinear constrained stochastic optimization by Menhorn, F, Augustin, F, Bungartz, H. -J, Marzouk, Y. M

“…In this work we introduce the stochastic nonlinear constrained derivative-free optimization method (S)NOWPAC (Stochastic Nonlinear Optimization With…”
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Meaningful Automated Statistical Analysis of Large Computational Clusters by Brandt, J.M., Gentile, A.C., Marzouk, Y.M., Pebay, P.P.

“…As clusters utilizing commercial off-the-shelf technology have grown from tens to thousands of nodes and typical job sizes have likewise increased, much effort…”
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