Bart G. van Bloemen Waanders

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 15

Top Topics

Sensitivity Analysis

Emission Tomography

Experimental Designs

Randomized Algorithms

Top Venues

SIAM J. Sci. Comput.

J. Optim. Theory Appl.

SIAM J. Math. Data Sci.

Publications

Joseph Hart, Bart G. van Bloemen Waanders
Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior Optimal Solution Sampling. CoRR (2024)
Joseph L. Hart, Bart G. van Bloemen Waanders, Lisa Hood, Julie Parish
Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical Systems. J. Optim. Theory Appl. 196 (3) (2023)
Joseph L. Hart, Bart G. van Bloemen Waanders
Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems. SIAM J. Sci. Comput. 45 (4) (2023)
Joseph Hart, Bart G. van Bloemen Waanders
Hyper-differential sensitivity analysis with respect to model discrepancy: mathematics and computation. CoRR (2022)
Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems. CoRR (2022)
Wolfgang Bangerth, Chris R. Johnson, Dennis K. Njeru, Bart G. van Bloemen Waanders
Estimating and using information in inverse problems. CoRR (2022)
Joseph L. Hart, Bart G. van Bloemen Waanders
Hyper-differential sensitivity analysis with respect to model discrepancy: Calibration and optimal solution updating. CoRR (2022)
Christian A. Glusa, Harbir Antil, Marta D'Elia, Bart G. van Bloemen Waanders, Chester J. Weiss
A Fast Solver for the Fractional Helmholtz Equation. SIAM J. Sci. Comput. 43 (2) (2021)
Girish Joshi, Girish Chowdhary, Bart G. van Bloemen Waanders
Stochastic Deep Model Reference Adaptive Control. CDC (2021)
Arvind K. Saibaba, Joseph L. Hart, Bart G. van Bloemen Waanders
Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis. Numer. Linear Algebra Appl. 28 (4) (2021)
Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. SIAM J. Math. Data Sci. 3 (4) (2021)
Joseph L. Hart, Bart G. van Bloemen Waanders
Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems. CoRR (2021)
Arvind K. Saibaba, Joseph L. Hart, Bart G. van Bloemen Waanders
Randomized Algorithms for Generalized Singular Value Decomposition with Application to Sensitivity Analysis. CoRR (2020)
Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. CoRR (2020)
Chester J. Weiss, Bart G. van Bloemen Waanders, Harbir Antil
Fractional Operators Applied to Geophysical Electromagnetics. CoRR (2019)
Irina Kalashnikova, Matthew F. Barone, Srinivasan Arunajatesan, Bart G. van Bloemen Waanders
Construction of energy-stable projection-based reduced order models. Appl. Math. Comput. 249 (2014)
Drew P. Kouri, Matthias Heinkenschloss, Denis Ridzal, Bart G. van Bloemen Waanders
Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty. SIAM J. Sci. Comput. 36 (6) (2014)
Drew P. Kouri, Matthias Heinkenschloss, Denis Ridzal, Bart G. van Bloemen Waanders
A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under Uncertainty. SIAM J. Sci. Comput. 35 (4) (2013)
Kevin R. Long, Paul T. Boggs, Bart G. van Bloemen Waanders
Sundance: High-level software for PDE-constrained optimization. Sci. Program. 20 (3) (2012)
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judith Hill, Bart G. van Bloemen Waanders, Omar Ghattas
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations. SIAM J. Sci. Comput. 33 (1) (2011)
Kevin R. Long, Robert C. Kirby, Bart G. van Bloemen Waanders
Unified Embedded Parallel Finite Element Computations via Software-Based Fr[e-acute]chet Differentiation. SIAM J. Sci. Comput. 32 (6) (2010)
Roscoe A. Bartlett, Bart G. van Bloemen Waanders, Martin Berggren
Hybrid differentiation strategies for simulation and analysis of applications in C++. ACM Trans. Math. Softw. 35 (1) (2008)
Tan Bui-Thanh, Karen Willcox, Omar Ghattas, Bart G. van Bloemen Waanders
Goal-oriented, model-constrained optimization for reduction of large-scale systems. J. Comput. Phys. 224 (2) (2007)
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. van Bloemen Waanders, Karen Willcox
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems. International Conference on Computational Science (1) (2007)
Volkan Akcelik, George Biros, Andrei Draganescu, Omar Ghattas, Judith Hill, Bart G. van Bloemen Waanders
Inversion of Airborne Contaminants in a Regional Model. International Conference on Computational Science (3) (2006)
Karen Willcox, Omar Ghattas, Bart G. van Bloemen Waanders, Brett W. Bader
An Optimization Frame work for Goal-Oriented, Model-Based Reduction of Large-Scale Systems. CDC/ECC (2005)
Volkan Akcelik, George Biros, Andrei Draganescu, Judith Hill, Omar Ghattas, Bart G. van Bloemen Waanders
Dynamic Data-Driven Inversion For Terascale Simulations: Real-Time Identification Of Airborne Contaminants. SC (2005)
Roscoe A. Bartlett, Bart G. van Bloemen Waanders, Michael A. Heroux
Vector reduction/transformation operators. ACM Trans. Math. Softw. 30 (1) (2004)