Matthew Zahr
Title
Cited by
Cited by
Year
Nonlinear model order reduction based on local reduced‐order bases
D Amsallem, MJ Zahr, C Farhat
International Journal for Numerical Methods in Engineering 92 (10), 891-916, 2012
3262012
Design optimization using hyper-reduced-order models
D Amsallem, M Zahr, Y Choi, C Farhat
Structural and Multidisciplinary Optimization 51 (4), 919-940, 2015
1212015
Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization
MJ Zahr, C Farhat
International Journal for Numerical Methods in Engineering 102 (5), 1111-1135, 2015
1062015
PDCO: Primal-dual interior method for convex objectives
MA Saunders, B Kim, C Maes, S Akle, M Zahr
Software available at http://www. stanford. edu/group/SOL/software/pdco. html, 2002
552002
Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction
D Amsallem, MJ Zahr, K Washabaugh
Advances in Computational Mathematics 41 (5), 1187-1230, 2015
542015
Nonlinear model reduction for CFD problems using local reduced-order bases
K Washabaugh, D Amsallem, M Zahr, C Farhat
42nd AIAA Fluid Dynamics Conference and Exhibit, 2686, 2012
492012
A multilevel projection‐based model order reduction framework for nonlinear dynamic multiscale problems in structural and solid mechanics
MJ Zahr, P Avery, C Farhat
International Journal for Numerical Methods in Engineering 112 (8), 855-881, 2017
352017
An optimization-based approach for high-order accurate discretization of conservation laws with discontinuous solutions
MJ Zahr, PO Persson
Journal of Computational Physics 365, 105-134, 2018
322018
On the use of discrete nonlinear reduced-order models for the prediction of steady-state flows past parametrically deformed complex geometries
KM Washabaugh, MJ Zahr, C Farhat
54th AIAA Aerospace Sciences Meeting, 1814, 2016
292016
The GNAT nonlinear model reduction method and its application to fluid dynamics problems
K Carlberg, D Amsallem, P Avery, M Zahr, C Farhat
6th AIAA Theoretical Fluid Mechanics Conference, 3112, 2011
262011
PDCO: Primal-Dual interior method for Convex Objectives, 2003
M Saunders, B Kim, C Maes, S Akle, M Zahr
252002
An efficient, globally convergent method for optimization under uncertainty using adaptive model reduction and sparse grids
MJ Zahr, KT Carlberg, DP Kouri
SIAM/ASA Journal on Uncertainty Quantification 7 (3), 877-912, 2019
212019
An adjoint method for a high-order discretization of deforming domain conservation laws for optimization of flow problems
MJ Zahr, PO Persson
Journal of Computational Physics 326, 516-543, 2016
172016
Construction of parametrically-robust CFD-based reduced-order models for PDE-constrained optimization
MJ Zahr, D Amsallem, C Farhat
21st AIAA Computational Fluid Dynamics Conference, 2845, 2013
172013
Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method
MJ Zahr, A Shi, PO Persson
Journal of Computational Physics 410, 109385, 2020
152020
High-order, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes
DZ Huang, PO Persson, MJ Zahr
Computer Methods in Applied Mechanics and Engineering 346, 674-706, 2019
152019
A fully discrete adjoint method for optimization of flow problems on deforming domains with time-periodicity constraints
MJ Zahr, PO Persson, J Wilkening
Computers & Fluids 139, 130-147, 2016
142016
Adaptive model reduction to accelerate optimization problems governed by partial differential equations
MJ Zahr
Stanford University, 2016
142016
Blood flow imaging by optimal matching of computational fluid dynamics to 4D‐flow data
J Töger, MJ Zahr, N Aristokleous, K Markenroth Bloch, M Carlsson, ...
Magnetic resonance in medicine 84 (4), 2231-2245, 2020
112020
On the robustness of residual minimization for constructing POD-based reduced-order CFD models
D Amsallem, C Farhat, M Zahr
21st AIAA Computational Fluid Dynamics Conference, 91, 2013
102013
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