Bart G. van Bloemen Waanders - researchr alias

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Viewing Publication 1 - 20 from 20

2023

Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse ProblemsJoseph L. Hart, Bart G. van Bloemen Waanders. siamsc, 45(4):1947, August 2023. [doi]

Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical SystemsJoseph L. Hart, Bart G. van Bloemen Waanders, Lisa Hood, Julie Parish. jota, 196(3):855-881, March 2023. [doi]

2021

2014

Construction of energy-stable projection-based reduced order modelsIrina Kalashnikova, Matthew F. Barone, Srinivasan Arunajatesan, Bart G. van Bloemen Waanders. amc, 249:569-596, 2014. [doi]

Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under UncertaintyDrew P. Kouri, Matthias Heinkenschloss, Denis Ridzal, Bart G. van Bloemen Waanders. siamsc, 36(6), 2014. [doi]

2013

A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under UncertaintyDrew P. Kouri, Matthias Heinkenschloss, Denis Ridzal, Bart G. van Bloemen Waanders. siamsc, 35(4), 2013. [doi]

2012

Sundance: High-level software for PDE-constrained optimizationKevin R. Long, Paul T. Boggs, Bart G. van Bloemen Waanders. sp, 20(3):293-310, 2012. [doi]

2011

Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian ApproximationsH. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judith Hill, Bart G. van Bloemen Waanders, Omar Ghattas. siamsc, 33(1):407-432, 2011. [doi]

2010

Unified Embedded Parallel Finite Element Computations via Software-Based Fr[e-acute]chet DifferentiationKevin Long, Robert Kirby, Bart G. van Bloemen Waanders. siamsc, 32(6):3323-3351, 2010. [doi]

2008

Hybrid differentiation strategies for simulation and analysis of applications in C++Roscoe A. Bartlett, Bart G. van Bloemen Waanders, Martin Berggren. TOMS, 35(1), 2008. [doi]

2007

Hessian-Based Model Reduction for Large-Scale Data Assimilation ProblemsOmar Bashir, Omar Ghattas, Judith Hill, Bart G. van Bloemen Waanders, Karen Willcox. iccS 2007: 1010-1017 [doi]

Goal-oriented, model-constrained optimization for reduction of large-scale systemsTan Bui-Thanh, Karen Willcox, Omar Ghattas, Bart G. van Bloemen Waanders. jcphy, 224(2):880-896, 2007. [doi]

2006

Inversion of Airborne Contaminants in a Regional ModelVolkan Akcelik, George Biros, Andrei Draganescu, Omar Ghattas, Judith Hill, Bart G. van Bloemen Waanders. iccS 2006: 481-488 [doi]

Parallel Algorithms for PDE-Constrained OptimizationVolkan Akçelik, George Biros, Omar Ghattas, Judith Hill, David E. Keyes, Bart G. van Bloemen Waanders. In Michael A. Heroux, Padma Raghavan, Horst D. Simon, editors, Parallel Processing for Scientific Computing. Volume 20 of Software, Environments, Tools, pages 291-322, SIAM, 2006. [doi]

2005

Dynamic Data-Driven Inversion For Terascale Simulations: Real-Time Identification Of Airborne ContaminantsVolkan Akcelik, George Biros, Andrei Draganescu, Judith Hill, Omar Ghattas, Bart G. van Bloemen Waanders. sc 2005: 43 [doi]

An Optimization Frame work for Goal-Oriented, Model-Based Reduction of Large-Scale SystemsKaren Willcox, Omar Ghattas, Bart G. van Bloemen Waanders, Brett W. Bader. cdc 2005: 2265-2271 [doi]

2004

Vector reduction/transformation operatorsRoscoe A. Bartlett, Bart G. van Bloemen Waanders, Michael A. Heroux. TOMS, 30(1):62-85, 2004. [doi]

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