Vector reduction/transformation operators. - Roscoe A. Bartlett; Bart G. van Bloemen Waanders; Michael A. Heroux (ACM Trans. Math. Softw., 2004)

An Optimization Frame work for Goal-Oriented, Model-Based Reduction of Large-Scale Systems. - Karen Willcox; Omar Ghattas; Bart G. van Bloemen Waanders; Brett W. Bader (CDC/ECC, 2005)

Dynamic Data-Driven Inversion For Terascale Simulations: Real-Time Identification Of Airborne Contaminants. - Volkan Akcelik; George Biros; Andrei Draganescu; Judith Hill; Omar Ghattas; Bart G. van Bloemen Waanders (SC, 2005)

Parallel Algorithms for PDE-Constrained Optimization. - Volkan Akçelik; George Biros; Omar Ghattas; Judith Hill; David E. Keyes; Bart G. van Bloemen Waanders (Parallel Processing for Scientific Computing, 2006)

Inversion of Airborne Contaminants in a Regional Model. - Volkan Akcelik; George Biros; Andrei Draganescu; Omar Ghattas; Judith Hill; Bart G. van Bloemen Waanders (International Conference on Computational Science (3), 2006)

Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems. - Omar Bashir; Omar Ghattas; Judith Hill; Bart G. van Bloemen Waanders; Karen Willcox (International Conference on Computational Science (1), 2007)

Goal-oriented, model-constrained optimization for reduction of large-scale systems. - Tan Bui-Thanh; Karen Willcox; Omar Ghattas; Bart G. van Bloemen Waanders (J. Comput. Phys., 2007)

Hybrid differentiation strategies for simulation and analysis of applications in C++. - Roscoe A. Bartlett; Bart G. van Bloemen Waanders; Martin Berggren (ACM Trans. Math. Softw., 2008)

Unified Embedded Parallel Finite Element Computations via Software-Based Fr[e-acute]chet Differentiation. - Kevin R. Long; Robert C. Kirby; Bart G. van Bloemen Waanders (SIAM J. Sci. Comput., 2010)

Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations. - H. P. Flath; Lucas C. Wilcox; Volkan Akcelik; Judith Hill; Bart G. van Bloemen Waanders; Omar Ghattas (SIAM J. Sci. Comput., 2011)

Sundance: High-level software for PDE-constrained optimization. - Kevin R. Long; Paul T. Boggs; Bart G. van Bloemen Waanders (Sci. Program., 2012)

A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under Uncertainty. - Drew P. Kouri; Matthias Heinkenschloss; Denis Ridzal; Bart G. van Bloemen Waanders (SIAM J. Sci. Comput., 2013)

Construction of energy-stable projection-based reduced order models. - Irina Kalashnikova; Matthew F. Barone; Srinivasan Arunajatesan; Bart G. van Bloemen Waanders (Appl. Math. Comput., 2014)

Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty. - Drew P. Kouri; Matthias Heinkenschloss; Denis Ridzal; Bart G. van Bloemen Waanders (SIAM J. Sci. Comput., 2014)

Fractional Operators Applied to Geophysical Electromagnetics. - Chester J. Weiss; Bart G. van Bloemen Waanders; Harbir Antil (CoRR, 2019)

Stochastic Deep Model Reference Adaptive Control. - Girish Joshi; Girish Chowdhary 001; Bart G. van Bloemen Waanders (CDC, 2021)

Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems. - Joseph L. Hart; Bart G. van Bloemen Waanders (CoRR, 2021)

Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis. - Arvind K. Saibaba; Joseph L. Hart; Bart G. van Bloemen Waanders (Numer. Linear Algebra Appl., 2021)

A Fast Solver for the Fractional Helmholtz Equation. - Christian Glusa; Harbir Antil; Marta D'Elia; Bart G. van Bloemen Waanders; Chester J. Weiss (SIAM J. Sci. Comput., 2021)

Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. - Elizabeth Newman; Lars Ruthotto; Joseph L. Hart; Bart G. van Bloemen Waanders (SIAM J. Math. Data Sci., 2021)

Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems. - Isaac Sunseri; Alen Alexanderian; Joseph L. Hart; Bart G. van Bloemen Waanders (CoRR, 2022)

Estimating and using information in inverse problems. - Wolfgang Bangerth; Chris R. Johnson 001; Dennis K. Njeru; Bart G. van Bloemen Waanders (CoRR, 2022)

Hyper-differential sensitivity analysis with respect to model discrepancy: mathematics and computation. - Joseph L. Hart; Bart G. van Bloemen Waanders (CoRR, 2022)

Hyper-differential sensitivity analysis with respect to model discrepancy: Calibration and optimal solution updating. - Joseph L. Hart; Bart G. van Bloemen Waanders (CoRR, 2022)

Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical Systems. - Joseph L. Hart; Bart G. van Bloemen Waanders; Lisa Hood; Julie Parish (J. Optim. Theory Appl., 2023)

Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems. - Joseph L. Hart; Bart G. van Bloemen Waanders (SIAM J. Sci. Comput., 2023)

Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields. - Timbwaoga A. J. Ouermi; Jixian Li; Zachary Morrow; Bart G. van Bloemen Waanders; Chris R. Johnson 001 (UncertaintyVis@VIS, 2024)

Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior Optimal Solution Sampling. - Joseph Hart; Bart G. van Bloemen Waanders (CoRR, 2024)

Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations. - J. Nicholas Neuberger; Alen Alexanderian; Bart G. van Bloemen Waanders (CoRR, 2024)

A control-oriented approach to optimal sensor placement. - Madhusudan Madhavan; Alen Alexanderian; Arvind K. Saibaba; Bart G. van Bloemen Waanders; Rebekah D. White (CoRR, 2025)

Hyper-differential sensitivity analysis with respect to model discrepancy: Prior Distributions. - Joseph Hart; Bart G. van Bloemen Waanders; Jixian Li; Timbwaoga A. J. Ouermi; Chris R. Johnson 001 (CoRR, 2025)

Fluid Simulation on Compressible Flow Maps. - Duowen Chen; Zhiqi Li 004; Taiyuan Zhang; Jinjin He; Junwei Zhou 001; Bart G. van Bloemen Waanders; Bo Zhu 002 (ACM Trans. Graph., 2025)

Leapfrog Flow Maps for Real-Time Fluid Simulation. - Yuchen Sun; Junlin Li; Ruicheng Wang; Sinan Wang; Zhiqi Li 004; Bart G. van Bloemen Waanders; Bo Zhu 002 (ACM Trans. Graph., 2025)