Bart G. van Bloemen Waanders

According to our database, Bart G. van Bloemen Waanders authored at least 27 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior Optimal Solution Sampling.

Joseph Hart, Bart G. van Bloemen Waanders

CoRR, 2024

2023

Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems.

Joseph L. Hart, Bart G. van Bloemen Waanders

SIAM J. Sci. Comput., August, 2023

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., March, 2023

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

Hyper-differential sensitivity analysis with respect to model discrepancy: mathematics and computation.

Joseph L. Hart, Bart G. van Bloemen Waanders

CoRR, 2022

Estimating and using information in inverse problems.

Wolfgang Bangerth, Chris R. Johnson, Dennis K. Njeru, Bart G. van Bloemen Waanders

CoRR, 2022

Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems.

Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders

CoRR, 2022

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

A Fast Solver for the Fractional Helmholtz Equation.

Christian A. Glusa, Harbir Antil, Marta D'Elia, Bart G. van Bloemen Waanders, Chester J. Weiss

SIAM J. Sci. Comput., 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

Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems.

Joseph L. Hart, Bart G. van Bloemen Waanders

CoRR, 2021

Stochastic Deep Model Reference Adaptive Control.

Girish Joshi, Girish Chowdhary, Bart G. van Bloemen Waanders

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Fractional Operators Applied to Geophysical Electromagnetics.

Chester J. Weiss, Bart G. van Bloemen Waanders, Harbir Antil

CoRR, 2019

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

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

2013

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

2012

Sundance: High-level software for PDE-constrained optimization.

Kevin R. Long, Paul T. Boggs, Bart G. van Bloemen Waanders

Sci. Program., 2012

2011

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

2010

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

2008

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

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

Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems.

Omar Bashir, Omar Ghattas, Judith Hill, Bart G. van Bloemen Waanders, Karen Willcox

Proceedings of the Computational Science, 2007

2006

Inversion of Airborne Contaminants in a Regional Model.

Volkan Akcelik, George Biros, Andrei Draganescu, Omar Ghattas, Judith Hill, Bart G. van Bloemen Waanders

Proceedings of the Computational Science, 2006

Parallel Algorithms for PDE-Constrained Optimization.

Volkan Akçelik, George Biros, Omar Ghattas, Judith Hill, David E. Keyes, Bart G. van Bloemen Waanders

Proceedings of the Parallel Processing for Scientific Computing, 2006

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

Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

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

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Vector reduction/transformation operators.

Roscoe A. Bartlett, Bart G. van Bloemen Waanders, Michael A. Heroux

ACM Trans. Math. Softw., 2004