A computational study of the use of an optimization-based method for simulating large multibody systems. - Cosmin G. Petra; Bogdan I. Gavrea; Mihai Anitescu; Florian A. Potra (Optim. Methods Softw., 2009)

Scalable stochastic optimization of complex energy systems. - Miles Lubin; Cosmin G. Petra; Mihai Anitescu; Victor M. Zavala (SC, 2011)

Corrector-predictor methods for sufficient linear complementarity problems. - Filiz Gürtuna; Cosmin G. Petra; Florian A. Potra; Olena Shevchenko; Adrian Vancea (Comput. Optim. Appl., 2011)

A preconditioning technique for Schur complement systems arising in stochastic optimization. - Cosmin G. Petra; Mihai Anitescu (Comput. Optim. Appl., 2012)

The parallel solution of dense saddle-point linear systems arising in stochastic programming. - Miles Lubin; Cosmin G. Petra; Mihai Anitescu (Optim. Methods Softw., 2012)

Multigrid Preconditioning of Linear Systems for Interior Point Methods Applied to a Class of Box-constrained Optimal Control Problems. - Andrei Draganescu; Cosmin G. Petra (SIAM J. Numer. Anal., 2012)

Parallel distributed-memory simplex for large-scale stochastic LP problems. - Miles Lubin; J. A. Julian Hall; Cosmin G. Petra; Mihai Anitescu (Comput. Optim. Appl., 2013)

On parallelizing dual decomposition in stochastic integer programming. - Miles Lubin; R. Kipp Martin; Cosmin G. Petra; Burhaneddin Sandikçi (Oper. Res. Lett., 2013)

Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. - Naiyuan Chiang; Cosmin G. Petra; Victor M. Zavala (PSCC, 2014)

Parallel algebraic modeling for stochastic optimization. - Joey Huchette; Miles Lubin; Cosmin G. Petra (HPTCDL@SC, 2014)

Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers. - Cosmin G. Petra; Olaf Schenk; Mihai Anitescu (Comput. Sci. Eng., 2014)

An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization. - Cosmin G. Petra; Olaf Schenk; Miles Lubin; Klaus Gärtner (SIAM J. Sci. Comput., 2014)

On efficient Hessian computation using the edge pushing algorithm in Julia. - Cosmin G. Petra; Feng Qiang; Miles Lubin; Joey Huchette (Optim. Methods Softw., 2018)

Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints. - Johannes Brust; Roummel F. Marcia; Cosmin G. Petra (Comput. Optim. Appl., 2019)

A homogeneous model for monotone mixed horizontal linear complementarity problems. - Cosmin G. Petra; Florian A. Potra (Comput. Optim. Appl., 2019)

A memory-distributed quasi-Newton solver for nonlinear programming problems with a small number of general constraints. - Cosmin G. Petra (J. Parallel Distributed Comput., 2019)

An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. - Kibaek Kim; Cosmin G. Petra; Victor M. Zavala (SIAM J. Optim., 2019)

A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information. - Cosmin G. Petra; Naiyuan Chiang; Mihai Anitescu (SIAM J. Optim., 2019)

Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms. - Emil M. Constantinescu; Noémi Petra; Julie Bessac; Cosmin G. Petra (SIAM/ASA J. Uncertain. Quantification, 2020)

Computationally Efficient Decompositions of Oblique Projection Matrices. - Johannes Brust; Roummel F. Marcia; Cosmin G. Petra (SIAM J. Matrix Anal. Appl., 2020)

An asynchronous distributed-memory optimization solver for two-stage stochastic programming problems. - Jingyi Wang; Naiyuan Chiang; Cosmin G. Petra (ISPDC, 2021)

Compact representations of structured BFGS matrices. - Johannes J. Brust; Zichao (Wendy) Di; Sven Leyffer; Cosmin G. Petra (Comput. Optim. Appl., 2021)

Another source of mesh dependence in topology optimization. - Miguel A. Salazar de Troya; Geoffrey M. Oxberry; Cosmin G. Petra; Daniel A. Tortorelli (CoRR, 2021)

A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. - Shaked Regev; Naiyuan Chiang; Eric Darve; Cosmin G. Petra; Michael A. Saunders; Kasia Swirydowicz; Slaven Peles (CoRR, 2021)

A simplified nonsmooth nonconvex bundle method with applications to security-constrained ACOPF problems. - Jingyi Wang; Cosmin G. Petra (CoRR, 2022)

Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation. - Johannes J. Brust; Roummel F. Marcia; Cosmin G. Petra; Michael A. Saunders (SIAM J. Sci. Comput., 2022)

Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. - Ignacio Aravena; Daniel K. Molzahn; Shixuan Zhang; Cosmin G. Petra; Frank E. Curtis; Shenyinying Tu; Andreas Wächter; Ermin Wei; Elizabeth Wong; Amin Gholami; Kaizhao Sun; Xu Andy Sun; et al. (Oper. Res., 2023)

A Surrogate-Based Asynchronous Decomposition Technique for Realistic Security-Constrained Optimal Power Flow Problems. - Cosmin G. Petra; Ignacio Aravena (Oper. Res., 2023)

On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations. - Cosmin G. Petra; Miguel A. Salazar de Troya; Noemi Petra; Youngsoo Choi; Geoffrey M. Oxberry; Daniel A. Tortorelli (Optim. Methods Softw., 2023)

HyKKT: a hybrid direct-iterative method for solving KKT linear systems. - Shaked Regev; Naiyuan Chiang; Eric Darve; Cosmin G. Petra; Michael A. Saunders; Kasia Swirydowicz; Slaven Peles (Optim. Methods Softw., 2023)

A Sequential Quadratic Programming Algorithm for Nonsmooth Problems with Upper- ({ boldsymbol{ mathcal{C}^2}} ) Objective. - Jingyi Wang; Cosmin G. Petra (SIAM J. Optim., 2023)

Design optimization in unilateral contact using pressure constraints and Bayesian optimization. - Jingyi Wang; Jerome Solberg; Mike A. Puso; Eric B. Chin; Cosmin G. Petra (CoRR, 2024)

A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints. - Tucker Hartland; Cosmin G. Petra; Noemi Petra; Jingyi Wang (CoRR, 2024)

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise. - Jingyi Wang; Haowei Wang; Cosmin G. Petra; Naiyuan Chiang (CoRR, 2024)

Advanced Computing is at the Forefront of a New "Moonshot" Revolutionizing the North American Power Grid. - Christopher S. Oehmen; Slaven Peles; Katarzyna Swirydowicz; Cosmin G. Petra; Shrirang Abhyankar; Wesley B. Jones; Matthew Reynolds; Cameron Rutherford (Comput. Sci. Eng., 2024)

On the convergence of noisy Bayesian Optimization with Expected Improvement. - Jingyi Wang; Haowei Wang; Cosmin G. Petra; Naiyuan Chiang (CoRR, 2025)

Convergence Rates of Constrained Expected Improvement. - Haowei Wang; Jingyi Wang; Zhongxiang Dai; Naiyuan Chiang; Szu Hui Ng; Cosmin G. Petra (CoRR, 2025)

AMG with Filtering: An Efficient Preconditioner for Interior Point Methods in Large-Scale Contact Mechanics Optimization. - Socratis Petrides; Tucker Hartland; Tzanio V. Kolev; Chak Shing Lee; Michael Puso; Jerome Solberg; Eric B. Chin; Jingyi Wang; Cosmin G. Petra (CoRR, 2025)