Drew P. Kouri - RankMe

33 papers Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A randomized sketching trust-region secant method for low-memory dynamic optimization. Optim. Lett. Radoslav G. Vuchkov, Drew P. Kouri
2026	J	`jnl`	An Inexact Weighted Proximal Trust-Region Method. CoRR Leandro Farias Maia, Robert J. Baraldi, Drew P. Kouri
2025	J	`jnl`	A Million-Point Fast Trajectory Optimization Solver. CoRR Aurya Javeed, Drew P. Kouri, Denis Ridzal, J. D. Steinman, I. M. Ross
2025	J	`jnl`	A Preconditioner for Spectral Collocation. SIAM J. Sci. Comput. Aurya Javeed, Drew P. Kouri, Denis Ridzal, J. D. Steinman
2025	J	`jnl`	Efficient proximal subproblem solvers for a nonsmooth trust-region method. Comput. Optim. Appl. Robert J. Baraldi, Drew P. Kouri
2025	J	`jnl`	Optimization problems governed by systems of PDEs with uncertainties. Acta Numer. Matthias Heinkenschloss, Drew P. Kouri
2025	J	`jnl`	Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. CoRR Matthias Mayr, Alexander Heinlein, Christian A. Glusa, Siva Rajamanickam, Maarten Arnst, Roscoe A. Bartlett, Luc Berger-Vergiat, Erik G. Boman, Karen D. Devine, Graham Harper, Michael A. Heroux, Mark Hoemmen, Jonathan J. Hu, Brian Michael Kelley, Kyungjoo Kim, Drew P. Kouri, Paul Kuberry, Kim Liegeois, Curtis C. Ober, Roger P. Pawlowski, Carl Pearson, Mauro Perego, Eric T. Phipps, Denis Ridzal, Nathan V. Roberts, Christopher M. Siefert, Heidi Thornquist, Romin Tomasetti, Christian R. Trott, Raymond S. Tuminaro, James M. Willenbring, Michael M. Wolf, Ichitaro Yamazaki
2024	J	`jnl`	Efficient and robust optimal design for quantile regression based on linear programming. Comput. Stat. Data Anal. Cheng Peng, Drew P. Kouri, Stan Uryasev
2024	J	`jnl`	Local convergence analysis of an inexact trust-region method for nonsmooth optimization. Optim. Lett. Robert J. Baraldi, Drew P. Kouri
2023	J	`jnl`	A proximal trust-region method for nonsmooth optimization with inexact function and gradient evaluations. Math. Program. Robert J. Baraldi, Drew P. Kouri
2023	J	`jnl`	A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. Comput. Optim. Appl. Drew P. Kouri, Mathias Staudigl, Thomas M. Surowiec
2023	J	`jnl`	ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints. SIAM J. Optim. Harbir Antil, Drew P. Kouri, Denis Ridzal
2022	J	`jnl`	A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems. SIAM/ASA J. Uncertain. Quantification Zilong Zou, Drew P. Kouri, Wilkins Aquino
2022	J	`jnl`	A matrix-free trust-region newton algorithm for convex-constrained optimization. Optim. Lett. Drew P. Kouri
2022	J	`jnl`	A primal-dual algorithm for risk minimization. Math. Program. Drew P. Kouri, Thomas M. Surowiec
2022	J	`jnl`	Corrigendum: "Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization". SIAM/ASA J. Uncertain. Quantification Drew P. Kouri, Thomas M. Surowiec
2022	J	`jnl`	Risk-Adapted Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification Drew P. Kouri, John D. Jakeman, J. Gabriel Huerta
2022	J	`jnl`	Spectral, Tensor and Domain Decomposition Methods for Fractional PDEs. Comput. Methods Appl. Math. Tianyi Shi, Harbir Antil, Drew P. Kouri
2022	J	`jnl`	Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. Reliab. Eng. Syst. Saf. John D. Jakeman, Drew P. Kouri, J. Gabriel Huerta
2021	J	`jnl`	KKT Preconditioners for PDE-Constrained Optimization with the Helmholtz Equation. SIAM J. Sci. Comput. Drew P. Kouri, Denis Ridzal, Ray Tuminaro
2021	J	`jnl`	Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. SIAM J. Optim. Ramchandran Muthukumar, Drew P. Kouri, Madeleine Udell
2021	J	`jnl`	Risk-Averse Control of Fractional Diffusion with Uncertain Exponent. SIAM J. Control. Optim. Harbir Antil, Drew P. Kouri, Johannes Pfefferer
2020	J	`jnl`	Epi-Regularization of Risk Measures. Math. Oper. Res. Drew P. Kouri, Thomas M. Surowiec
2019	J	`jnl`	An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids. SIAM/ASA J. Uncertain. Quantification Matthew J. Zahr, Kevin T. Carlberg, Drew P. Kouri
2019	J	`jnl`	Correction to: Higher-moment buffered probability. Optim. Lett. Drew P. Kouri
2019	J	`jnl`	Higher-moment buffered probability. Optim. Lett. Drew P. Kouri
2019	J	`jnl`	Spectral risk measures: the risk quadrangle and optimal approximation. Math. Program. Drew P. Kouri
2018	J	`jnl`	Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization. SIAM/ASA J. Uncertain. Quantification Drew P. Kouri, Thomas M. Surowiec
2017	J	`jnl`	A Measure Approximation for Distributionally Robust PDE-Constrained Optimization Problems. SIAM J. Numer. Anal. Drew P. Kouri
2016	J	`jnl`	Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk. SIAM J. Optim. Drew P. Kouri, Thomas M. Surowiec
2014	J	`jnl`	A Multilevel Stochastic Collocation Algorithm for Optimization of PDEs with Uncertain Coefficients. SIAM/ASA J. Uncertain. Quantification Drew P. Kouri
2014	J	`jnl`	Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty. SIAM J. Sci. Comput. Drew P. Kouri, Matthias Heinkenschloss, Denis Ridzal, Bart G. van Bloemen Waanders
2013	J	`jnl`	A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under Uncertainty. SIAM J. Sci. Comput. Drew P. Kouri, Matthias Heinkenschloss, Denis Ridzal, Bart G. van Bloemen Waanders