Matthias Heinkenschloss

Rice University — United States

Engineering · Physical Sciences

34h-index3.0kcitations126works2.62yr avg
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Research Topics

Advanced Numerical Methods in Computational Mathematics(37), Model Reduction and Neural Networks(31), Advanced Optimization Algorithms Research(22), Matrix Theory and Algorithms(21), Probabilistic and Robust Engineering Design(20)

Publications126 total

Sensitivity of ODE Solutions and Quantities of Interest with Respect to Component Functions in the Dynamics
SIAM Journal on Numerical Analysis·2025
Sensitivity-Driven Adaptive Surrogate Modeling for Simulation and Optimization of Dynamical Systems
arXiv (Cornell University)·2025Open Access
A Generalized $\ell_1$-Merit Function SQP Method Using Function Approximations with Tunable Accuracy
arXiv (Cornell University)·2025Open Access
Optimization problems governed by systems of PDEs with uncertainties
Acta Numerica·2025Open Access
Sensitivity of Optimal Control Solutions and Quantities of Interest with Respect to Component Functions
arXiv (Cornell University)·2025Open Access
Sequential Quadratic Programming: Interior Point Methods for Distributed Optimal Control Problems
Encyclopedia of Optimization·2025
Line-search based optimization using function approximations with tunable accuracy
Optimization methods & software·2024· 2 cited
Analysis of the SUPG Method for the Solution of Optimal Control Problems
arXiv (Cornell University)·2024Open Access
Sensitivity of ODE Solutions and Quantities of Interest with Respect to Component Functions in the Dynamics
arXiv (Cornell University)·2024Open Access
A fast and accurate domain decomposition nonlinear manifold reduced order model
Computer Methods in Applied Mechanics and Engineering·2024· 24 citedOpen Access
Simultaneous Design and Trajectory Optimization for Boosted Hypersonic Glide Vehicles
2024· 8 cited
A new diagonalization based method for parallel-in-time solution of linear-quadratic optimal control problems
ESAIM Control Optimisation and Calculus of Variations·2024Open Access
Exploiting Parallelism in Optimization with Evolutionary Constraints
2024Open Access
Nonlinear-manifold reduced order models with domain decomposition
arXiv (Cornell University)·2023Open Access
Interpolatory model reduction of quadratic-bilinear dynamical systems with quadratic-bilinear outputs
Advances in Computational Mathematics·2023· 5 cited
A fast and accurate domain-decomposition nonlinear manifold reduced order model
arXiv (Cornell University)·2023· 9 citedOpen Access
Adapting Multigrid-in-Time to Train Deep Neural Networks [Slides]
2022Open Access
Frontmatter
2022Open Access
Reduced Order Model Hessian Approximations in Newton Methods for Optimal Control
2022· 1 cited
Towards Data-Driven Model Reduction of the Navier-Stokes Equations Using the Loewner Framework
Notes on numerical fluid mechanics and multidisciplinary design·2021· 1 cited
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Frequent Co-authors

Denis Ridzal(5), Michael Ulbrich(5), Stefan Ulbrich(5), S. Scott Collis(4), Harbir Antil(4), Lorenz T. Biegler(3), Omar Ghattas(3), Feby Abraham(3), Marek Behr(3), Danny C. Sorensen(3), L. N. Vicente(3), Bart G. van Bloemen Waanders(3), Kaveh Ghayour(3), Ronald H. W. Hoppe(3), Bart van Bloemen Waanders(2), Drew Kouri(2), Dmitriy Leykekhman(2), Ajit Shenoy(2), Eugene M. Cliff(2), Boris Krämer(2)