Alireza Doostan

发表

A well-posed and stable stochastic Galerkin formulation of the incompressible Navier-Stokes equations with random data

Jan Nordström, Per Pettersson, Alireza Doostan, 2016, J. Comput. Phys..

A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems

Gianluca Iaccarino, Christian Ketelsen, Alireza Doostan, 2016, J. Comput. Phys..

On transfer learning of neural networks using bi-fidelity data for uncertainty propagation pdf

Subhayan De, Alireza Doostan, Jolene Britton, 2020, International Journal for Uncertainty Quantification.

Early Career Award: An Enabling Computational Framework for Uncertainty Assimilation and Propagation in Complex PDE Systems: Sparse and Low-rank Techniques (Final Report)

Alireza Doostan, 2019 .

Reduced-Basis Multifidelity Approach for Efficient Parametric Study of NACA Airfoils

Kenneth E. Jansen, John A. Evans, Alireza Doostan, 2019, AIAA Journal.

A non-adapted sparse approximation of PDEs with stochastic inputs

Houman Owhadi, Alireza Doostan, H. Owhadi, 2010, J. Comput. Phys..

Sparse Identification of Nonlinear Dynamical Systems via Reweighted 𝓁s1-regularized Least Squares pdf

Alireza Doostan, Kwang-Chun Park, Alexandre Cortiella, 2020, Computer Methods in Applied Mechanics and Engineering.

Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence

Gianluca Geraci, Gianluca Iaccarino, Lluis Jofre, 2018, J. Comput. Phys..

Level set methods for stochastic discontinuity detection in nonlinear problems

Jan Nordström, Per Pettersson, Alireza Doostan, 2018, J. Comput. Phys..

Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence.

Gianluca Geraci, Gianluca Iaccarino, Lluis Jofre, 2018, 1808.05742.

Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction

Akil C. Narayan, Alireza Doostan, Hillary R. Fairbanks, 2018, J. Comput. Phys..

An Evaluation of Multi-Fidelity Modeling Efficiency on a Parametric Study of NACA Airfoils

Kenneth E. Jansen, John A. Evans, Alireza Doostan, 2017 .

A Surrogate Accelerated Bayesian Inverse Analysis of the HyShot II Flight Data

Gianluca Iaccarino, Paul G. Constantine, Qiqi Wang, 2011 .

Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations

Onkar Sahni, Assad A. Oberai, Alireza Doostan, 2013, SIAM/ASA J. Uncertain. Quantification.

Numerical Predictions of the Performance in Flight of an Air-Breathing Hypersonic Vehicle: HyShot II

Gianluca Iaccarino, Rene Pecnik, Alireza Doostan, 2010 .

On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data

Roger G. Ghanem, Alireza Doostan, R. Ghanem, 2006, J. Comput. Phys..

Bi-fidelity Stochastic Gradient Descent for Structural Optimization under Uncertainty

Kurt Maute, Subhayan De, Alireza Doostan, 2019 .

Topology optimization under uncertainty using a stochastic gradient-based approach pdf

Kurt Maute, Subhayan De, Alireza Doostan, 2019, Structural and Multidisciplinary Optimization.

A least-squares approximation of partial differential equations with high-dimensional random inputs

Gianluca Iaccarino, Alireza Doostan, G. Iaccarino, 2009, J. Comput. Phys..

Smoothed aggregation algebraic multigrid for stochastic PDE problems with layered materials

Thomas A. Manteuffel, Stephen F. McCormick, Marian Brezina, 2014, Numer. Linear Algebra Appl..

On polynomial chaos expansion via gradient-enhanced ℓ1-minimization

Alireza Doostan, Ji Peng, Jerrad Hampton, 2015, J. Comput. Phys..

Sparse polynomial chaos expansions via compressed sensing and D-optimal design

Paul Diaz, Alireza Doostan, Jerrad Hampton, 2017, Computer Methods in Applied Mechanics and Engineering.

Time‐dependent global sensitivity analysis with active subspaces for a lithium ion battery model

Paul G. Constantine, Alireza Doostan, P. Constantine, 2016, Stat. Anal. Data Min..

Reduced cost mission design using surrogate models

Brandon A. Jones, Alireza Doostan, Jerrad Hampton, 2016 .

A simple and efficient preconditioning scheme for heaviside enriched XFEM

Kurt Maute, Alireza Doostan, David Makhija, 2013, 1312.6092.

A Bi-Fidelity Approach for Uncertainty Quantification of Heat Transfer in a Rectangular Ribbed Channel

Gianluca Geraci, Gianluca Iaccarino, Gianluca Iaccarino, 2016 .

A simplified model for seismic response prediction of concentrically braced frames

Iman Hajirasouliha, Alireza Doostan, I. Hajirasouliha, 2010, Adv. Eng. Softw..

Basis Reduction for Uncertainty Quantification - A Bi-fidelity Approach

Alireza Doostan, Felix Newberry, Michaela Farr, 2017 .

Pass-efficient methods for compression of high-dimensional turbulent flow data

Gianluca Iaccarino, Alireza Doostan, Lluís Jofre, 2020, J. Comput. Phys..

Satellite collision probability estimation using polynomial chaos expansions

Alireza Doostan, Brandon A. Jones, A. Doostan, 2013 .

Pass-efficient methods for compression of high-dimensional particle-laden turbulent flow data

Gianluca Iaccarino, Alireza Doostan, Alec M. Dunton, 2019 .

Optimum seismic design of concentrically braced steel frames: concepts and design procedures

Iman Hajirasouliha, Alireza Doostan, H. Moghaddam, 2005 .

A weighted l1-minimization approach for sparse polynomial chaos expansions

Alireza Doostan, Ji Peng, Jerrad Hampton, 2013, J. Comput. Phys..

Basis adaptive sample efficient polynomial chaos (BASE-PC)

Alireza Doostan, Jerrad Hampton, A. Doostan, 2017, J. Comput. Phys..

Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to A PDE With Random Data

Gregory Beylkin, Alireza Doostan, Matthew J. Reynolds, 2015, SIAM J. Sci. Comput..

Padé-Legendre approximants for uncertainty analysis with discontinuous response surfaces

Gianluca Iaccarino, Alireza Doostan, Tonkid Chantrasmi, 2009, J. Comput. Phys..

Optimization via separated representations and the canonical tensor decomposition

Gregory Beylkin, Alireza Doostan, Matthew J. Reynolds, 2016, J. Comput. Phys..

Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies

Alireza Doostan, Jerrad Hampton, A. Doostan, 2014, J. Comput. Phys..

Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning pdf

Subhayan De, Bhuiyan Shameem Mahmood Ebna Hai, Markus Bause, 2021, ArXiv.

Task-parallel in situ temporal compression of large-scale computational fluid dynamics data pdf

Gianluca Iaccarino, Alireza Doostan, Alec Dunton, 2021, Int. J. High Perform. Comput. Appl..

Topology optimization under microscale uncertainty using stochastic gradients

Kurt Maute, Subhayan De, Alireza Doostan, 2021, Structural and Multidisciplinary Optimization.

Deterministic matrix sketches for low-rank compression of high-dimensional simulation data pdf

Alireza Doostan, Alec Michael Dunton, Alec M. Dunton, 2021, ArXiv.

Reliability-based topology optimization using stochastic gradients

Kurt Maute, Subhayan De, Alireza Doostan, 2021, Structural and Multidisciplinary Optimization.

Finite-Dimensional Density Representation for Aerocapture Uncertainty Quantification

Alireza Doostan, Hanspeter Schaub, Samuel W. Albert, 2020, AIAA Scitech 2021 Forum.

Rapid Aerodynamic Shape Optimization Under Parametric and Turbulence Model Uncertainty: A Stochastic Gradient Approach

Alireza Doostan, Llu'is Jofre, A. Doostan, 2021, 2105.01048.

Stochastic Gradient Optimization of Transonic Airfoils

Mark Drela, Alireza Doostan, Fatma D. Ulker, 2020, AIAA Scitech 2021 Forum.

S-frame discrepancy correction models for data-informed Reynolds stress closure

Kenneth E. Jansen, John A. Evans, Alireza Doostan, 2020, J. Comput. Phys..

Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification pdf

Alireza Doostan, Kenneth Jansen, Jerrad Hampton, 2021, Computational Mechanics.

A stochastic subspace approach to gradient-free optimization in high dimensions

Luis Tenorio, Stephen Becker, Alireza Doostan, 2020, Computational Optimization and Applications.

Parametric/Stochastic Model Reduction: Low-Rank Representation, Non-Intrusive Bi-Fidelity Approximation, and Convergence Analysis

Alireza Doostan, Akil Narayan, Hillary R. Fairbanks, 2017, 1709.03661.

Satellite Collision Probability Estimation Using Polynomial Chaos

Brandon A. Jones, Alireza Doostan, A. Doostan, 2013 .

Multi-fidelity uncertainty quantification strategies for large-scale multiphysics applications: PSAAP II particle-based solar energy receiver

Gianluca Geraci, Gianluca Iaccarino, Lluis Jofre, 2018 .

On stability and monotonicity requirements of finite difference approximations of stochastic conservation laws with random viscosity

Jan Nordström, Alireza Doostan, Per Pettersson, 2013 .

A Hybrid Uncertainty Propagation Scheme for Convective Heat Transfer Problems

Gianluca Iaccarino, Paul G. Constantine, Alireza Doostan, 2008 .

Stochastic model reduction for chaos representations

Roger Ghanem, John Red-Horse, Alireza Doostan, 2007 .

Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling

David Moens, Dirk Vandepitte, Loujaine Mehrez, 2012 .

Enabling predictive reduced order modeling of high-fidelity wind plant simulations with in-situ modal decomposition and basis interpolation

Jennifer Annoni, Alireza Doostan, Ryan King, 2018 .

Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression

Alireza Doostan, Jerrad Hampton, A. Doostan, 2014, 1410.1931.

Heaviside enriched extended stochastic FEM for problems with uncertain material interfaces

Kurt Maute, Alireza Doostan, Christapher Lang, 2015 .

A hybrid collocation/Galerkin scheme for convective heat transfer problems with stochastic boundary conditions

Gianluca Iaccarino, Paul G. Constantine, Alireza Doostan, 2009 .

Efficient solution of stochastic systems: Application to the embankment dam problem

Roger Ghanem, George Saad, Alireza Doostan, 2007 .

On Uncertainty Quantification of Lithium-ion Batteries: Application to an LiC$_6$/LiCoO$_2$ cell

Kurt Maute, Alireza Doostan, Mohammad Hadigol, 2015, 1505.07776.

A probabilistic construction of model validation

Roger Ghanem, John Red-Horse, Alireza Doostan, 2008 .

Postmaneuver Collision Probability Estimation Using Sparse Polynomial Chaos Expansions

Brandon A. Jones, Alireza Doostan, Nathan L. Parrish, 2015 .

Extended stochastic FEM for diffusion problems with uncertain material interfaces

Kurt Maute, Alireza Doostan, Christapher Lang, 2013 .

Compressive Sampling Methods for Sparse Polynomial Chaos Expansions

Alireza Doostan, Jerrad Hampton, A. Doostan, 2015 .

A validation study of a stochastic representation of composite material properties from limited experimental data

David Moens, Dirk Vandepitte, Loujaine Mehrez, 2010 .