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Cosmin G. Petra
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2020 – today
- 2024
- [j25]Christopher S. Oehmen
, Slaven Peles
Advanced Computing is at the Forefront of a New "Moonshot" Revolutionizing the North American Power Grid. Comput. Sci. Eng. 26(2): 25-32 (2024) - [i6]Jingyi Wang, Jerome Solberg, Mike A. Puso, Eric B. Chin, Cosmin G. Petra:
Design optimization in unilateral contact using pressure constraints and Bayesian optimization. CoRR abs/2405.03081 (2024) - 2023
- [j24]Ignacio Aravena, Daniel K. Molzahn, Shixuan Zhang
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. Oper. Res. 71(6): 1997-2014 (2023) - [j23]Cosmin G. Petra, Ignacio Aravena:
A Surrogate-Based Asynchronous Decomposition Technique for Realistic Security-Constrained Optimal Power Flow Problems. Oper. Res. 71(6): 2015-2030 (2023) - [j22]Cosmin G. Petra
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations. Optim. Methods Softw. 38(1): 59-90 (2023) - [j21]Shaked Regev
HyKKT: a hybrid direct-iterative method for solving KKT linear systems. Optim. Methods Softw. 38(2): 332-355 (2023) - [j20]Jingyi Wang, Cosmin G. Petra
A Sequential Quadratic Programming Algorithm for Nonsmooth Problems with Upper- \({\boldsymbol{\mathcal{C}^2}}\) Objective. SIAM J. Optim. 33(3): 2379-2405 (2023) - 2022
- [j19]Johannes J. Brust
Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation. SIAM J. Sci. Comput. 44(1): 103- (2022) - [i5]Jingyi Wang, Cosmin G. Petra:
A simplified nonsmooth nonconvex bundle method with applications to security-constrained ACOPF problems. CoRR abs/2203.17215 (2022) - [i4]Johannes J. Brust, Zichao Wendy Di, Sven Leyffer, Cosmin G. Petra:
Compact representations of structured BFGS matrices. CoRR abs/2208.00057 (2022) - 2021
- [j18]Johannes J. Brust
Compact representations of structured BFGS matrices. Comput. Optim. Appl. 80(1): 55-88 (2021) - [c4]Jingyi Wang, Naiyuan Chiang, Cosmin G. Petra:
An asynchronous distributed-memory optimization solver for two-stage stochastic programming problems. ISPDC 2021: 33-40 - [i3]Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders:
Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation. CoRR abs/2101.11048 (2021) - [i2]Miguel A. Salazar de Troya, Geoffrey M. Oxberry, Cosmin G. Petra, Daniel A. Tortorelli:
Another source of mesh dependence in topology optimization. CoRR abs/2106.12098 (2021) - [i1]Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles:
A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. CoRR abs/2110.03636 (2021) - 2020
- [j17]Emil M. Constantinescu
Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms. SIAM/ASA J. Uncertain. Quantification 8(1): 170-197 (2020) - [j16]Johannes Brust
Computationally Efficient Decompositions of Oblique Projection Matrices. SIAM J. Matrix Anal. Appl. 41(2): 852-870 (2020)
2010 – 2019
- 2019
- [j15]Cosmin G. Petra
A homogeneous model for monotone mixed horizontal linear complementarity problems. Comput. Optim. Appl. 72(1): 241-267 (2019) - [j14]Johannes Brust
Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints. Comput. Optim. Appl. 74(3): 669-701 (2019) - [j13]Cosmin G. Petra
A memory-distributed quasi-Newton solver for nonlinear programming problems with a small number of general constraints. J. Parallel Distributed Comput. 133: 337-348 (2019) - [j12]Kibaek Kim
An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. SIAM J. Optim. 29(1): 318-342 (2019) - [j11]Cosmin G. Petra
A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information. SIAM J. Optim. 29(2): 1048-1075 (2019) - 2018
- [j10]Cosmin G. Petra, Feng Qiang
On efficient Hessian computation using the edge pushing algorithm in Julia. Optim. Methods Softw. 33(4-6): 1010-1029 (2018) - 2014
- [j9]Cosmin G. Petra, Olaf Schenk
Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers. Comput. Sci. Eng. 16(5): 32-42 (2014) - [j8]Cosmin G. Petra, Olaf Schenk
An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization. SIAM J. Sci. Comput. 36(2) (2014) - [c3]Naiyuan Chiang, Cosmin G. Petra, Victor M. Zavala:
Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. PSCC 2014: 1-7 - [c2]Joey Huchette
Parallel algebraic modeling for stochastic optimization. HPTCDL@SC 2014: 29-35 - 2013
- [j7]Miles Lubin, J. A. Julian Hall, Cosmin G. Petra, Mihai Anitescu
Parallel distributed-memory simplex for large-scale stochastic LP problems. Comput. Optim. Appl. 55(3): 571-596 (2013) - [j6]Miles Lubin, R. Kipp Martin, Cosmin G. Petra, Burhaneddin Sandikçi
On parallelizing dual decomposition in stochastic integer programming. Oper. Res. Lett. 41(3): 252-258 (2013) - 2012
- [j5]Cosmin G. Petra, Mihai Anitescu
A preconditioning technique for Schur complement systems arising in stochastic optimization. Comput. Optim. Appl. 52(2): 315-344 (2012) - [j4]Miles Lubin, Cosmin G. Petra, Mihai Anitescu
The parallel solution of dense saddle-point linear systems arising in stochastic programming. Optim. Methods Softw. 27(4-5): 845-864 (2012) - [j3]Andrei Draganescu
Multigrid Preconditioning of Linear Systems for Interior Point Methods Applied to a Class of Box-constrained Optimal Control Problems. SIAM J. Numer. Anal. 50(1): 328-353 (2012) - 2011
- [j2]Filiz Gürtuna, Cosmin G. Petra, Florian A. Potra, Olena Shevchenko, Adrian Vancea:
Corrector-predictor methods for sufficient linear complementarity problems. Comput. Optim. Appl. 48(3): 453-485 (2011) - [c1]Miles Lubin, Cosmin G. Petra, Mihai Anitescu
Scalable stochastic optimization of complex energy systems. SC 2011: 64:1-64:64
2000 – 2009
- 2009
- [j1]Cosmin G. Petra, Bogdan I. Gavrea, Mihai Anitescu
A computational study of the use of an optimization-based method for simulating large multibody systems. Optim. Methods Softw. 24(6): 871-894 (2009)
Coauthor Index
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