Publications (Chronological)

View publications chronologically below, or click here to view by type.

2024

  • [Download PDF] Taylor D. Sparks, Frank E. Curtis, Daniel C. Fredrickson, and Nicole A. Benedek. Insights and Innovations from the SSMCDAT 2023: Bridging Solid-State Materials Chemistry and Data Science. Chemistry of Materials, 36(11):5293–5296, 2024. [Bibtex] 
    @article{SparCurtFredBene24,
author = {Taylor D. Sparks and Frank E. Curtis and Daniel C. Fredrickson and Nicole A. Benedek},
title = {{Insights and Innovations from the SSMCDAT 2023: Bridging Solid-State Materials Chemistry and Data Science}},
journal = {{Chemistry of Materials}},
volume = {36},
number = {11},
pages = {5293--5296},
year = {2024},
url = {https://pubs.acs.org/doi/full/10.1021/acs.chemmater.4c01318},
papercite = {4. Editorials}
}
  • [Download PDF] Frank E. Curtis, Michael J. O’Neill, and Daniel P. Robinson. Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization. Mathematical Programming, 205:431–483, 2024. [Bibtex] 
    @article{CurtONeiRobi24,
author = {Frank E. Curtis and Michael J. O'Neill and Daniel P. Robinson},
title = {{Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization}},
journal = {{Mathematical Programming}},
volume = {205},
number = {},
pages = {431--483},
year = {2024},
url = {https://doi.org/10.1007/s10107-023-01981-1},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Suyun Liu, and Daniel P. Robinson. Fair Machine Learning through Constrained Stochastic Optimization and an $\epsilon$-Constraint Method. Optimization Letters, 18:1975–1991, 2024. [Bibtex] 
    @article{CurtLiuRobi24,
author = {Frank E. Curtis and Suyun Liu and Daniel P. Robinson},
title = {{Fair Machine Learning through Constrained Stochastic Optimization and an $\epsilon$-Constraint Method}},
journal = {{Optimization Letters}},
volume = {18},
number = {},
pages = {1975--1991},
year = {2024},
url = {https://rdcu.be/deeGZ},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Shima Dezfulian, and Andreas Wächter. Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models. Optimization Methods and Software, 39(4):845–873, 2024. [Bibtex] 
    @article{CurtDezfWaec24,
author = {Frank E. Curtis and Shima Dezfulian and Andreas W\"{a}chter},
title = {{Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models}},
journal = {{Optimization Methods and Software}},
volume = {39},
number = {4},
pages = {845--873},
year = {2024},
url = {https://doi.org/10.1080/10556788.2024.2329588},
papercite = {2. Journal Articles}
}
  • [Download PDF] Gülçin Dinç Yalç i and Frank E. Curtis. Incremental Quasi-Newton Algorithms for Solving Nonconvex, Nonsmooth, Finite-Sum Optimization Problems. Optimization methods and software, 39(2):345–367, 2024. [Bibtex] 
    @article{YalcCurt24,
author = {G\"ul\c{c}in Din\c{c} Yal\c{c}{\i}n and Frank E. Curtis},
title = {{Incremental Quasi-Newton Algorithms for Solving Nonconvex, Nonsmooth, Finite-Sum Optimization Problems}},
journal = {Optimization Methods and Software},
volume = {39},
number = {2},
pages = {345--367},
year = {2024},
url = {https://doi.org/10.1080/10556788.2023.2296432},
papercite = {2. Journal Articles}
}
  • [Download PDF] Man Yiu Tsang, Karmel S. Shehadeh, Frank E. Curtis, Beth Hochman, and Tricia E. Brentjens. Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem. 2024. [Bibtex] 
    @unpublished{TsanShehCurtHochBren24,
author = {Man Yiu Tsang and Karmel S. Shehadeh and Frank E. Curtis and Beth Hochman and Tricia E. Brentjens},
title = {{Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem}},
journal = {Operations Research},
volume = {https://doi.org/10.1287/opre.2022.0258},
number = {},
pages = {},
year = {2024},
url = {https://doi.org/10.1287/opre.2022.0258},
papercite = {2. Journal Articles}
}
  • Frank E. Curtis and Daniel P. Robinson. Practical Nonconvex Nonsmooth Optimization. (In preparation, under contract with SIAM for MOS-SIAM Series on Optimization), 2024. [Bibtex] 
    @unpublished{CurtRobi,
author = {Frank E. Curtis and Daniel P. Robinson},
title = {{Practical Nonconvex Nonsmooth Optimization}},
note = {(In preparation, under contract with SIAM for MOS-SIAM Series on Optimization)},
year = {2024},
url = {},
papercite = {0. Books}
}

2023

  • [Download PDF] Man Yiu Tsang, Karmel S. Shehadeh, and Frank E. Curtis. An Inexact Column-and-Constraint Generation Method to Solve Two-Stage Robust Optimization Problems. Operations Research Letters, 51(1):92–98, 2023. [Bibtex] 
    @article{TsanShehCurt23,
author = {Man Yiu Tsang and Karmel S. Shehadeh and Frank E. Curtis},
title = {{An Inexact Column-and-Constraint Generation Method to Solve Two-Stage Robust Optimization Problems}},
journal = {{Operations Research Letters}},
volume = {51},
number = {1},
pages = {92--98},
year = {2023},
url = {https://doi.org/10.1016/j.orl.2022.12.002},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Qi Wang. Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization. Siam journal on optimization, 33(3):2191–2221, 2023. [Bibtex] 
    @article{CurtWang23,
author = {Frank E. Curtis and Qi Wang},
title = {{Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization}},
journal = {SIAM Journal on Optimization},
volume = {33},
number = {3},
pages = {2191--2221},
year = {2023},
url = {https://doi.org/10.1137/22M1492428},
papercite = {2. Journal Articles}
}
  • [Download PDF] Yutong Dai, Guanyi Wang, Frank E. Curtis, and Daniel P. Robinson. A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Cambridge, MA, USA, 2023. Pmlr. [Bibtex] 
    @conference{DaiWangCurtRobi23,
author = {Yutong Dai and Guanyi Wang and Frank E. Curtis and Daniel P. Robinson},
title = {{A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization}},
booktitle = {{Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS)}},
publisher = {PMLR},
address = {Cambridge, MA, USA},
year = {2023},
url = {https://proceedings.mlr.press/v206/dai23a.html},
papercite = {3. Conference Articles}
}
  • [Download PDF] 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, Stephen T. Elbert, Jesse T. Holzer, and Arun Veeramany. Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. Operations research, 71(6):1997–2014, 2023. [Bibtex] 
    @article{AravEtAl23,
author = {Ignacio Aravena and Daniel K. Molzahn and Shixuan Zhang and Cosmin G. Petra and Frank E. Curtis and Shenyinying Tu and Andreas W\"achter and Ermin Wei and Elizabeth Wong and Amin Gholami and Kaizhao Sun and Xu Andy Sun and Stephen T. Elbert and Jesse T. Holzer and Arun Veeramany},
title = {{Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition}},
journal = {Operations Research},
volume = {71},
number = {6},
pages = {1997--2014},
year = {2023},
url = {https://doi.org/10.1287/opre.2022.0315},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel K. Molzahn, Shenyinying Tu, Andreas Waechter, Ermin Wei, and Elizabeth Wong. A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF. Operations research, 71(6):2031–2044, 2023. [Bibtex] 
    @article{CurtMolzTuWaecWeiWong23,
author = {Frank E. Curtis and Daniel K. Molzahn and Shenyinying Tu and Andreas Waechter and Ermin Wei and Elizabeth Wong},
title = {{A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF}},
journal = {Operations Research},
volume = {71},
number = {6},
pages = {2031--2044},
year = {2023},
url = {https://doi.org/10.1287/opre.2023.2453},
papercite = {2. Journal Articles}
}
  • [Download PDF] Albert S. Berahas, Frank E. Curtis, Michael J. O’Neill, and Daniel P. Robinson. A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians. Mathematics of operations research, https://doi.org/10.1287/moor.2021.0154, 2023. [Bibtex] 
    @article{BeraCurtONeiRobi23,
author = {Albert S. Berahas and Frank E. Curtis and Michael J. O'Neill and Daniel P. Robinson},
title = {{A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians}},
journal = {Mathematics of Operations Research},
volume = {https://doi.org/10.1287/moor.2021.0154},
number = {},
pages = {},
year = {2023},
url = {https://doi.org/10.1287/moor.2021.0154},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, and Baoyu Zhou. Sequential Quadratic Optimization for Stochastic Optimization with Deterministic Nonlinear Inequality and Equality Constraints. arXiv 2302.14790, 2023. [Bibtex] 
    @unpublished{CurtRobiZhou23,
author = {Frank E. Curtis and Daniel P. Robinson and Baoyu Zhou},
title = {{Sequential Quadratic Optimization for Stochastic Optimization with Deterministic Nonlinear Inequality and Equality Constraints}},
note = {arXiv 2302.14790},
year = {2023},
url = {https://arxiv.org/abs/2302.14790},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson, and Qi Wang. A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems. arXiv 2304.14907, 2023. [Bibtex] 
    @unpublished{CurtKungRobiWang23,
author = {Frank E. Curtis and Vyacheslav Kungurtsev and Daniel P. Robinson and Qi Wang},
title = {{A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems}},
note = {arXiv 2304.14907},
year = {2023},
url = {https://arxiv.org/abs/2304.14907},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Xin Jiang, and Qi Wang. Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization. arXiv 2308.03687, 2023. [Bibtex] 
    @unpublished{CurtJianWang23,
author = {Frank E. Curtis and Xin Jiang and Qi Wang},
title = {{Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization}},
note = {arXiv 2308.03687},
year = {2023},
url = {https://arxiv.org/abs/2308.03687},
papercite = {2. Journal Articles}
}

2022

  • [Download PDF] Frank E. Curtis, Yutong Dai, and Daniel P. Robinson. A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer. SIAM Journal on Optimization, 32(2):545–572, 2022. [Bibtex] 
    @article{CurtDaiRobi22,
author = {Frank E. Curtis and Yutong Dai and Daniel P. Robinson},
title = {{A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer}},
journal = {{SIAM Journal on Optimization}},
volume = {32},
number = {2},
pages = {545--572},
year = {2022},
url = {https://epubs.siam.org/doi/abs/10.1137/21M1411111},
papercite = {2. Journal Articles}
}
  • [Download PDF] Albert Berahas, Frank E. Curtis, and Baoyu Zhou. Limited-Memory BFGS with Displacement Aggregation. Mathematical Programming, 194:121–157, 2022. [Bibtex] 
    @article{BeraCurtZhou22,
author = {Albert Berahas and Frank E. Curtis and Baoyu Zhou},
title = {{Limited-Memory BFGS with Displacement Aggregation}},
journal = {{Mathematical Programming}},
volume = {194},
number = {},
pages = {121--157},
year = {2022},
url = {http://link.springer.com/article/10.1007/s10107-021-01621-6},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Rui Shi. A Fully Stochastic Second-Order Trust Region Method. Optimization Methods and Software, 37(3):844–877, 2022. [Bibtex] 
    @article{CurtShi22,
author = {Frank E. Curtis and Rui Shi},
title = {{A Fully Stochastic Second-Order Trust Region Method}},
journal = {{Optimization Methods and Software}},
volume = {37},
number = {3},
pages = {844--877},
year = {2022},
url = {https://www.tandfonline.com/eprint/W9KYC8AQ3G4E8SUFRSKX/full?target=10.1080/10556788.2020.1852403},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Minhan Li. Gradient Sampling Methods with Inexact Subproblem Solutions and Gradient Aggregation. INFORMS Journal on Optimization, 4(4):347–445, 2022. [Bibtex] 
    @article{CurtLi22,
author = {Frank E. Curtis and Minhan Li},
title = {{Gradient Sampling Methods with Inexact Subproblem Solutions and Gradient Aggregation}},
journal = {{INFORMS Journal on Optimization}},
volume = {4},
number = {4},
pages = {347--445},
year = {2022},
url = {https://doi.org/10.1287/ijoo.2022.0073},
papercite = {2. Journal Articles}
}

2021

  • [Download PDF] Mertcan Yetkin, Sudharsan Kalidoss, Frank E. Curtis, Lawrence V. Snyder, and Arindam Banerjee. Practical optimal control of a wave-energy converter in regular wave environments. Renewable Energy, 171:1382–1394, 2021. [Bibtex] 
    @article{YetkKaliCurtSnydBane21,
author = {Mertcan Yetkin and Sudharsan Kalidoss and Frank E. Curtis and Lawrence V. Snyder and Arindam Banerjee},
title = {{Practical optimal control of a wave-energy converter in regular wave environments}},
journal = {{Renewable Energy}},
volume = {171},
number = {},
pages = {1382--1394},
year = {2021},
url = {https://authors.elsevier.com/c/1clLO_LrCmnBRP},
papercite = {2. Journal Articles}
}
  • [Download PDF] Chenxin Ma, Martin Jaggi, Frank E. Curtis, Nathan Srebro, and Martin Takáč. An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning. Optimization Methods and Software, 36(1):20–44, 2021. [Bibtex] 
    @article{MaJaggCurtSrebTaka21,
author = {Chenxin Ma and Martin Jaggi and Frank E. Curtis and Nathan Srebro and Martin Tak\'a\v{c}},
title = {{An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning}},
journal = {{Optimization Methods and Software}},
volume = {36},
number = {1},
pages = {20--44},
year = {2021},
url = {https://www.tandfonline.com/eprint/PXQPMMCNUWXHGPNCRPZE/full?target=10.1080/10556788.2019.1650361},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Daniel P. Robinson. Regional Complexity Analysis of Algorithms for Nonconvex Smooth Optimization. Mathematical Programming, 187:579–615, 2021. [Bibtex] 
    @article{CurtRobi21,
author = {Frank E. Curtis and Daniel P. Robinson},
title = {{Regional Complexity Analysis of Algorithms for Nonconvex Smooth Optimization}},
journal = {{Mathematical Programming}},
volume = {187},
number = {},
pages = {579--615},
year = {2021},
url = {https://rdcu.be/b3lVF},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, Clément W. Royer, and Stephen J. Wright. Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization. SIAM Journal on Optimization, 31(1):518–544, 2021. [Bibtex] 
    @article{CurtRobiRoyeWrig21,
author = {Frank E. Curtis and Daniel P. Robinson and Cl\'{e}ment W. Royer and Stephen J. Wright},
title = {{Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {31},
number = {1},
pages = {518--544},
year = {2021},
url = {https://epubs.siam.org/doi/abs/10.1137/19M130563X},
papercite = {2. Journal Articles}
}
  • [Download PDF] Albert S. Berahas, Frank E. Curtis, Daniel P. Robinson, and Baoyu Zhou. Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization. SIAM Journal on Optimization, 31(2):1352–1379, 2021. [Bibtex] 
    @article{BeraCurtRobiZhou21,
author = {Albert S. Berahas and Frank E. Curtis and Daniel P. Robinson and Baoyu Zhou},
title = {{Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {31},
number = {2},
pages = {1352--1379},
year = {2021},
url = {https://epubs.siam.org/doi/abs/10.1137/20M1354556},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, and Baoyu Zhou. Inexact Sequential Quadratic Optimization for Minimizing a Stochastic Objective Function Subject to Deterministic Nonlinear Equality Constraints. arXiv 2107.03512, 2021. [Bibtex] 
    @unpublished{CurtRobiZhou21,
author = {Frank E. Curtis and Daniel P. Robinson and Baoyu Zhou},
title = {{Inexact Sequential Quadratic Optimization for Minimizing a Stochastic Objective Function Subject to Deterministic Nonlinear Equality Constraints}},
note = {arXiv 2107.03512},
year = {2021},
url = {https://arxiv.org/abs/2107.03512},
papercite = {2. Journal Articles}
}

2020

  • [Download PDF] Wenbo Gao, Donald Goldfarb, and Frank E. Curtis. ADMM for Multiaffine Constrained Optimization. Optimization Methods and Software, 35(2):257–303, 2020. [Bibtex] 
    @article{GaoGoldCurt20,
author = {Wenbo Gao and Donald Goldfarb and Frank E. Curtis},
title = {{ADMM for Multiaffine Constrained Optimization}},
journal = {{Optimization Methods and Software}},
volume = {35},
number = {2},
pages = {257--303},
year = {2020},
url = {https://doi.org/10.1080/10556788.2019.1683553},
papercite = {2. Journal Articles}
}
  • [Download PDF] James V. Burke, Frank E. Curtis, Adrian S. Lewis, Michael L. Overton, and Lucas E. A. Simões. Gradient Sampling Methods for Nonsmooth Optimization. In Numerical Nonsmooth Optimization, chapter 6, page 201–225. Springer, 2020. [Bibtex] 
    @incollection{BurkCurtLewiOverSimo20,
author = {James V. Burke and Frank E. Curtis and Adrian S. Lewis and Michael L. Overton and Lucas E. A. Sim\~{o}es},
title = {{Gradient Sampling Methods for Nonsmooth Optimization}},
booktitle = {{Numerical Nonsmooth Optimization}},
publisher = {Springer},
chapter = {6},
pages = {201--225},
year = {2020},
url = {https://link.springer.com/chapter/10.1007/978-3-030-34910-3_6},
papercite = {1. Review Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, and Baoyu Zhou. A Self-Correcting Variable-Metric Algorithm Framework for Nonsmooth Optimization. IMA Journal of Numerical Analysis, 40(2):1154–1187, 2020. [Bibtex] 
    @article{CurtRobiZhou20,
author = {Frank E. Curtis and Daniel P. Robinson and Baoyu Zhou},
title = {{A Self-Correcting Variable-Metric Algorithm Framework for Nonsmooth Optimization}},
journal = {{IMA Journal of Numerical Analysis}},
volume = {40},
number = {2},
pages = {1154--1187},
year = {2020},
url = {https://academic.oup.com/imajna/article/40/2/1154/5369122?guestAccessKey=b7a4f0fe-8dc4-4bd7-9418-8b1e3335813d},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Katya Scheinberg. Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms. IEEE Signal Processing Magazine, 37(5):32–42, 2020. [Bibtex] 
    @article{CurtSche20,
author = {Frank E. Curtis and Katya Scheinberg},
title = {{Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms}},
journal = {{IEEE Signal Processing Magazine}},
volume = {37},
number = {5},
pages = {32--42},
year = {2020},
url = {https://ieeexplore.ieee.org/document/9194022},
papercite = {2. Journal Articles}
}
  • [Download PDF] James V. Burke, Frank E. Curtis, Hao Wang, and Jiashan Wang. Inexact Sequential Quadratic Optimization with Penalty Parameter Updates within the QP Solver. SIAM Journal on Optimization, 30(3):1822–1849, 2020. [Bibtex] 
    @article{BurkCurtWangWang20,
author = {James V. Burke and Frank E. Curtis and Hao Wang and Jiashan Wang},
title = {{Inexact Sequential Quadratic Optimization with Penalty Parameter Updates within the QP Solver}},
journal = {{SIAM Journal on Optimization}},
volume = {30},
number = {3},
pages = {1822--1849},
year = {2020},
url = {https://epubs.siam.org/doi/abs/10.1137/18M1176488},
papercite = {2. Journal Articles}
}

2019

  • [Download PDF] Frank E. Curtis and Daniel P. Robinson. Exploiting Negative Curvature in Deterministic and Stochastic Optimization. Mathematical Programming, Series B, 176(1):69–94, 2019. [Bibtex] 
    @article{CurtRobi19,
author = {Frank E. Curtis and Daniel P. Robinson},
title = {{Exploiting Negative Curvature in Deterministic and Stochastic Optimization}},
journal = {{Mathematical Programming, Series B}},
volume = {176},
number = {1},
pages = {69--94},
year = {2019},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobi19.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Katya Scheinberg, and Rui Shi. A Stochastic Trust Region Algorithm Based on Careful Step Normalization. INFORMS Journal on Optimization, 1(3):200–220, 2019. [Bibtex] 
    @article{CurtScheShi19,
author = {Frank E. Curtis and Katya Scheinberg and Rui Shi},
title = {{A Stochastic Trust Region Algorithm Based on Careful Step Normalization}},
journal = {{INFORMS Journal on Optimization}},
volume = {1},
number = {3},
pages = {200--220},
year = {2019},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtScheShi19.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, and Mohammadreza Samadi. An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of $\mathcal{O}(\epsilon^{-3/2})$ for Nonconvex Optimization. IMA Journal of Numerical Analysis, 39(3):1296–1327, 2019. [Bibtex] 
    @article{CurtRobiSama19,
author = {Frank E. Curtis and Daniel P. Robinson and Mohammadreza Samadi},
title = {{An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of $\mathcal{O}(\epsilon^{-3/2})$ for Nonconvex Optimization}},
journal = {{IMA Journal of Numerical Analysis}},
volume = {39},
number = {3},
pages = {1296--1327},
year = {2019},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiSama19.pdf},
papercite = {2. Journal Articles}
}

2018

  • [Download PDF] Tianyi Chen, Frank E. Curtis, and Daniel P. Robinson. FaRSA for $\ell_1$-Regularized Convex Optimization: Local Convergence and Numerical Experience. Optimization Methods and Software, 33(2):396–415, 2018. [Bibtex] 
    @article{ChenCurtRobi18,
author = {Tianyi Chen and Frank E. Curtis and Daniel P. Robinson},
title = {{FaRSA for $\ell_1$-Regularized Convex Optimization: Local Convergence and Numerical Experience}},
journal = {{Optimization Methods and Software}},
volume = {33},
number = {2},
pages = {396--415},
year = {2018},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ChenCurtRobi18.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Andreas Wächter, and Victor M. Zavala. A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM Journal on Optimization, 28(1):930–958, 2018. [Bibtex] 
    @article{CurtWaecZava18,
author = {Frank E. Curtis and Andreas W\"{a}chter and Victor M. Zavala},
title = {{A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints}},
journal = {{SIAM Journal on Optimization}},
volume = {28},
number = {1},
pages = {930--958},
year = {2018},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtWaecZava18.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Wei Guo. $R$-Linear Convergence of Limited Memory Steepest Descent. IMA Journal of Numerical Analysis, 38(2):720–742, 2018. [Bibtex] 
    @article{CurtGuo18,
author = {Frank E. Curtis and Wei Guo},
title = {{$R$-Linear Convergence of Limited Memory Steepest Descent}},
journal = {{IMA Journal of Numerical Analysis}},
volume = {38},
number = {2},
pages = {720--742},
year = {2018},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGuo18.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Léon Bottou, Frank E. Curtis, and Jorge Nocedal. Optimization Methods for Large-Scale Machine Learning. SIAM Review, 60(2):223–311, 2018. [Bibtex] 
    @article{BottCurtNoce18,
author = {L\'{e}on Bottou and Frank E. Curtis and Jorge Nocedal},
title = {{Optimization Methods for Large-Scale Machine Learning}},
journal = {{SIAM Review}},
volume = {60},
number = {2},
pages = {223--311},
year = {2018},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/BottCurtNoce18.pdf},
papercite = {1. Review Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, and Mohammadreza Samadi. Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization. SIAM Journal on Optimization, 28(2):1533–1563, 2018. [Bibtex] 
    @article{CurtRobiSama18,
author = {Frank E. Curtis and Daniel P. Robinson and Mohammadreza Samadi},
title = {{Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {28},
number = {2},
pages = {1533--1563},
year = {2018},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiSama18.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Arvind U. Raghunathan, Frank E. Curtis, Yusuke Takaguchi, and Hiroyuki Hashimoto. Fast Market Clearing Algorithms. In Energy Markets and Responsive Grids, chapter 7, page 155–175. Springer, 2018. [Bibtex] 
    @incollection{RaghCurtTakaHash18,
author = {Arvind U. Raghunathan and Frank E. Curtis and Yusuke Takaguchi and Hiroyuki Hashimoto},
title = {{Fast Market Clearing Algorithms}},
booktitle = {{Energy Markets and Responsive Grids}},
publisher = {Springer},
chapter = {7},
pages = {155--175},
year = {2018},
url = {https://www.springer.com/us/book/9781493978212},
papercite = {3. Conference Articles}
}
  • [Download PDF] Frank E. Curtis, Zachary Lubberts, and Daniel P. Robinson. Concise Complexity Analyses for Trust Region Methods. Optimization Letters, 12(8):1713–1724, 2018. [Bibtex] 
    @article{CurtLubbRobi18,
author = {Frank E. Curtis and Zachary Lubberts and Daniel P. Robinson},
title = {{Concise Complexity Analyses for Trust Region Methods}},
journal = {{Optimization Letters}},
volume = {12},
number = {8},
pages = {1713--1724},
year = {2018},
url = {https://rdcu.be/1qGH},
papercite = {2. Journal Articles}
}

2017

  • [Download PDF] Frank E. Curtis, Tim Mitchell, and Michael L. Overton. A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles. Optimization Methods and Software, 32(1):148–181, 2017. [Bibtex] 
    @article{CurtMitcOver17,
author = {Frank E. Curtis and Tim Mitchell and Michael L. Overton},
title = {{A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles}},
journal = {{Optimization Methods and Software}},
volume = {32},
number = {1},
pages = {148--181},
year = {2017},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtMitcOver17.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Daniel P. Robinson, and Mohammadreza Samadi. A Trust Region Algorithm with a Worst-Case Iteration Complexity of ${\cal O}(\epsilon^{-3/2})$ for Nonconvex Optimization. Mathematical Programming, 162(1):1–32, 2017. [Bibtex] 
    @article{CurtRobiSama17,
author = {Frank E. Curtis and Daniel P. Robinson and Mohammadreza Samadi},
title = {{A Trust Region Algorithm with a Worst-Case Iteration Complexity of ${\cal O}(\epsilon^{-3/2})$ for Nonconvex Optimization}},
journal = {{Mathematical Programming}},
volume = {162},
number = {1},
pages = {1--32},
year = {2017},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiSama17.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Tianyi Chen, Frank E. Curtis, and Daniel P. Robinson. A Reduced-Space Algorithm for Minimizing $\ell_1$-Regularized Convex Functions. SIAM Journal on Optimization, 27(3):1583–1610, 2017. [Bibtex] 
    @article{ChenCurtRobi17,
author = {Tianyi Chen and Frank E. Curtis and Daniel P. Robinson},
title = {{A Reduced-Space Algorithm for Minimizing $\ell_1$-Regularized Convex Functions}},
journal = {{SIAM Journal on Optimization}},
volume = {27},
number = {3},
pages = {1583--1610},
year = {2017},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ChenCurtRobi17.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Nicholas I. M. Gould, Daniel P. Robinson, and Philippe L. Toint. An Interior-Point Trust-Funnel Algorithm for Nonlinear Optimization. Mathematical Programming, 161(1):73–134, 2017. [Bibtex] 
    @article{CurtGoulRobiToin17,
author = {Frank E. Curtis and Nicholas I. M. Gould and Daniel P. Robinson and Philippe L. Toint},
title = {{An Interior-Point Trust-Funnel Algorithm for Nonlinear Optimization}},
journal = {{Mathematical Programming}},
volume = {161},
number = {1},
pages = {73--134},
year = {2017},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGoulRobiToin17.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Arvind U. Raghunathan. Solving Nearly-Separable Quadratic Optimization Problems as Nonsmooth Equations. Computational Optimization and Applications, 67(2):317–360, 2017. [Bibtex] 
    @article{CurtRagh17,
author = {Frank E. Curtis and Arvind U. Raghunathan},
title = {{Solving Nearly-Separable Quadratic Optimization Problems as Nonsmooth Equations}},
journal = {{Computational Optimization and Applications}},
volume = {67},
number = {2},
pages = {317--360},
year = {2017},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRagh17.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Katya Scheinberg. Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning. In INFORMS Tutorials in Operations Research, chapter 5, page 89–114. Institute for operations research and the management sciences (informs), 2017. [Bibtex] 
    @incollection{CurtSche17,
author = {Frank E. Curtis and Katya Scheinberg},
title = {{Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning}},
booktitle = {{INFORMS Tutorials in Operations Research}},
publisher = {Institute for Operations Research and the Management Sciences (INFORMS)},
chapter = {5},
pages = {89--114},
year = {2017},
url = {http://pubsonline.informs.org/doi/abs/10.1287/educ.2017.0168},
papercite = {1. Review Articles}
}

2016

  • [Download PDF] Frank E. Curtis, Nicholas I. M. Gould, Hao Jiang, and Daniel P. Robinson. Adaptive Augmented Lagrangian Methods: Algorithms and Practical Numerical Experience. Optimization Methods and Software, 31(1):157–186, 2016. [Bibtex] 
    @article{CurtGoulJianRobi16,
author = {Frank E. Curtis and Nicholas I. M. Gould and Hao Jiang and Daniel P. Robinson},
title = {{Adaptive Augmented Lagrangian Methods: Algorithms and Practical Numerical Experience}},
journal = {{Optimization Methods and Software}},
volume = {31},
number = {1},
pages = {157--186},
year = {2016},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGoulJianRobi16.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Wei Guo. Handling Nonpositive Curvature in a Limited Memory Steepest Descent Method. IMA Journal of Numerical Analysis, 36(2):717–742, 2016. [Bibtex] 
    @article{CurtGuo16,
author = {Frank E. Curtis and Wei Guo},
title = {{Handling Nonpositive Curvature in a Limited Memory Steepest Descent Method}},
journal = {{IMA Journal of Numerical Analysis}},
volume = {36},
number = {2},
pages = {717--742},
year = {2016},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGuo16.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Zheng Han. Globally Convergent Primal-Dual Active-Set Methods with Inexact Subproblem Solves. SIAM Journal on Optimization, 26(4):2261–2283, 2016. [Bibtex] 
    @article{CurtHan16,
author = {Frank E. Curtis and Zheng Han},
title = {{Globally Convergent Primal-Dual Active-Set Methods with Inexact Subproblem Solves}},
journal = {{SIAM Journal on Optimization}},
volume = {26},
number = {4},
pages = {2261--2283},
year = {2016},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtHan16.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis. A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization. In Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016. Jmlr. [Bibtex] 
    @conference{Curt16,
author = {Frank E. Curtis},
title = {{A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization}},
booktitle = {{Proceedings of the 33rd International Conference on Machine Learning}},
publisher = {JMLR},
address = {New York, NY, USA},
year = {2016},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/Curt16.pdf},
papercite = {3. Conference Articles}
}
  • [Download PDF] Arvind U. Raghunathan, Frank E. Curtis, Yusuke Takaguchi, and Hiroyuki Hashimoto. Accelerating Convergence to Competitive Equilibrium in Electricity Markets. In IEEE Power and Energy Society General Meeting, 2016. [Bibtex] 
    @conference{RaghCurtTakaHash16,
author = {Arvind U. Raghunathan and Frank E. Curtis and Yusuke Takaguchi and Hiroyuki Hashimoto},
title = {{Accelerating Convergence to Competitive Equilibrium in Electricity Markets}},
booktitle = {{IEEE Power and Energy Society General Meeting}},
year = {2016},
url = {http://ieeexplore.ieee.org/document/7741162/},
papercite = {3. Conference Articles}
}

2015

  • [Download PDF] James V. Burke, Frank E. Curtis, Hao Wang, and Jiashan Wang. Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets. SIAM Journal on Optimization, 25(1):261–294, 2015. [Bibtex] 
    @article{BurkCurtWangWang15,
author = {James V. Burke and Frank E. Curtis and Hao Wang and Jiashan Wang},
title = {{Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets}},
journal = {{SIAM Journal on Optimization}},
volume = {25},
number = {1},
pages = {261--294},
year = {2015},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/BurkCurtWangWang15.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Zheng Han, and Daniel P. Robinson. A Globally Convergent Primal-Dual Active-Set Framework for Large-Scale Convex Quadratic Optimization. Computational Optimization and Applications, 60(2):311–341, 2015. [Bibtex] 
    @article{CurtHanRobi15,
author = {Frank E. Curtis and Zheng Han and Daniel P. Robinson},
title = {{A Globally Convergent Primal-Dual Active-Set Framework for Large-Scale Convex Quadratic Optimization}},
journal = {{Computational Optimization and Applications}},
volume = {60},
number = {2},
pages = {311--341},
year = {2015},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtHanRobi15.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Hao Jiang, and Daniel P. Robinson. An Adaptive Augmented Lagrangian Method for Large-Scale Constrained Optimization. Mathematical Programming, 152(1–2):201–245, 2015. [Bibtex] 
    @article{CurtJianRobi15,
author = {Frank E. Curtis and Hao Jiang and Daniel P. Robinson},
title = {{An Adaptive Augmented Lagrangian Method for Large-Scale Constrained Optimization}},
journal = {{Mathematical Programming}},
volume = {152},
number = {1--2},
pages = {201--245},
year = {2015},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtJianRobi15.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Xiaocun Que. A Quasi-Newton Algorithm for Nonconvex, Nonsmooth Optimization with Global Convergence Guarantees. Mathematical Programming Computation, 7(4):399–428, 2015. [Bibtex] 
    @article{CurtQue15,
author = {Frank E. Curtis and Xiaocun Que},
title = {{A Quasi-Newton Algorithm for Nonconvex, Nonsmooth Optimization with Global Convergence Guarantees}},
journal = {{Mathematical Programming Computation}},
volume = {7},
number = {4},
pages = {399--428},
year = {2015},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtQue15.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Zheng Han. Primal-Dual Active-Set Methods for Isotonic Regression and Trend Filtering. arXiv 1508.02452, 2015. [Bibtex] 
    @unpublished{CurtHan15,
author = {Frank E. Curtis and Zheng Han},
title = {{Primal-Dual Active-Set Methods for Isotonic Regression and Trend Filtering}},
note = {arXiv 1508.02452},
year = {2015},
url = {http://arxiv.org/abs/1508.02452},
papercite = {7. Technical Reports}
}

2014

  • [Download PDF] James V. Burke, Frank E. Curtis, and Hao Wang. A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection. SIAM Journal on Optimization, 24(2):839–872, 2014. [Bibtex] 
    @article{BurkCurtWang14,
author = {James V. Burke and Frank E. Curtis and Hao Wang},
title = {{A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection}},
journal = {{SIAM Journal on Optimization}},
volume = {24},
number = {2},
pages = {839--872},
year = {2014},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/BurkCurtWang14.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Travis Johnson, Daniel P. Robinson, and Andreas Wächter. An Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Optimization. SIAM Journal on Optimization, 24(3):1041–1074, 2014. [Bibtex] 
    @article{CurtJohnRobiWaec14,
author = {Frank E. Curtis and Travis Johnson and Daniel P. Robinson and Andreas W\"{a}chter},
title = {{An Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {24},
number = {3},
pages = {1041--1074},
year = {2014},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtJohnRobiWaec14.pdf},
papercite = {2. Journal Articles}
}

2013

  • [Download PDF] Frank E. Curtis and Xiaocun Que. An Adaptive Gradient Sampling Algorithm for Nonsmooth Optimization. Optimization Methods and Software, 28(6):1302–1324, 2013. [Bibtex] 
    @article{CurtQue13,
author = {Frank E. Curtis and Xiaocun Que},
title = {{An Adaptive Gradient Sampling Algorithm for Nonsmooth Optimization}},
journal = {{Optimization Methods and Software}},
volume = {28},
number = {6},
pages = {1302--1324},
year = {2013},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtQue13.pdf},
papercite = {2. Journal Articles}
}

2012

  • [Download PDF] Frank E. Curtis. A Penalty-Interior-Point Algorithm for Nonlinear Constrained Optimization. Mathematical Programming Computation, 4(2):181–209, 2012. [Bibtex] 
    @article{Curt12,
author = {Frank E. Curtis},
title = {{A Penalty-Interior-Point Algorithm for Nonlinear Constrained Optimization}},
journal = {{Mathematical Programming Computation}},
volume = {4},
number = {2},
pages = {181--209},
year = {2012},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/Curt12.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Johannes Huber, Olaf Schenk, and Andreas Wächter. A Note on the Implementation of an Interior-Point Algorithm for Nonlinear Optimization with Inexact Step Computations. Mathematical Programming, Series B, 136(1):209–227, 2012. [Bibtex] 
    @article{CurtHubeScheWaec12,
author = {Frank E. Curtis and Johannes Huber and Olaf Schenk and Andreas W\"{a}chter},
title = {{A Note on the Implementation of an Interior-Point Algorithm for Nonlinear Optimization with Inexact Step Computations}},
journal = {{Mathematical Programming, Series B}},
volume = {136},
number = {1},
pages = {209--227},
year = {2012},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtHubeScheWaec12.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Michael L. Overton. A Sequential Quadratic Programming Algorithm for Nonconvex, Nonsmooth Constrained Optimization. SIAM Journal on Optimization, 22(2):474–500, 2012. [Bibtex] 
    @article{CurtOver12,
author = {Frank E. Curtis and Michael L. Overton},
title = {{A Sequential Quadratic Programming Algorithm for Nonconvex, Nonsmooth Constrained Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {22},
number = {2},
pages = {474--500},
year = {2012},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtOver12.pdf},
papercite = {2. Journal Articles}
}
  • Tamás Terlaky and Frank E. Curtis, editors. Modeling and Optimization: Theory and Applications – Selected Contributions from the MOPTA 2010 Conference. Springer Proceedings in Mathematics and Statistics. Springer, New York, NY, USA, 2012. [Bibtex] 
    @book{TerlCurt12,
editor = {Tam\'{a}s Terlaky and Frank E. Curtis},
title = {{Modeling and Optimization: Theory and Applications -- Selected Contributions from the MOPTA 2010 Conference}},
publisher = {Springer},
address = {New York, NY, USA},
series = {Springer Proceedings in Mathematics and Statistics},
year = {2012},
papercite = {5. Edited Volumes}
}

2010

  • [Download PDF] Richard H. Byrd, Frank E. Curtis, and Jorge Nocedal. An Inexact Newton Method for Nonconvex Equality Constrained Optimization. Mathematical Programming, 122(2):273–299, 2010. [Bibtex] 
    @article{ByrdCurtNoce10a,
author = {Richard H. Byrd and Frank E. Curtis and Jorge Nocedal},
title = {{An Inexact Newton Method for Nonconvex Equality Constrained Optimization}},
journal = {{Mathematical Programming}},
volume = {122},
number = {2},
pages = {273--299},
year = {2010},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ByrdCurtNoce10a.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Richard H. Byrd, Frank E. Curtis, and Jorge Nocedal. Infeasibility Detection and SQP Methods for Nonlinear Optimization. SIAM Journal on Optimization, 20(5):2281–2299, 2010. [Bibtex] 
    @article{ByrdCurtNoce10b,
author = {Richard H. Byrd and Frank E. Curtis and Jorge Nocedal},
title = {{Infeasibility Detection and SQP Methods for Nonlinear Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {20},
number = {5},
pages = {2281--2299},
year = {2010},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ByrdCurtNoce10b.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis, Olaf Schenk, and Andreas Wächter. An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations. SIAM Journal on Scientific Computing, 32(6):3447–3475, 2010. [Bibtex] 
    @article{CurtScheWaec10,
author = {Frank E. Curtis and Olaf Schenk and Andreas W\"{a}chter},
title = {{An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations}},
journal = {{SIAM Journal on Scientific Computing}},
volume = {32},
number = {6},
pages = {3447--3475},
year = {2010},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtScheWaec10.pdf},
papercite = {2. Journal Articles}
}

2009

  • [Download PDF] Frank E. Curtis, Jorge Nocedal, and Andreas Wächter. A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank Deficient Jacobians. SIAM Journal on Optimization, 20(3):1224–1249, 2009. [Bibtex] 
    @article{CurtNoceWaec09,
author = {Frank E. Curtis and Jorge Nocedal and Andreas W\"{a}chter},
title = {{A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank Deficient Jacobians}},
journal = {{SIAM Journal on Optimization}},
volume = {20},
number = {3},
pages = {1224--1249},
year = {2009},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtNoceWaec09.pdf},
papercite = {2. Journal Articles}
}

2008

  • [Download PDF] Richard H. Byrd, Frank E. Curtis, and Jorge Nocedal. An Inexact SQP Method for Equality Constrained Optimization. SIAM Journal on Optimization, 19(1):351–369, 2008. [Bibtex] 
    @article{ByrdCurtNoce08,
author = {Richard H. Byrd and Frank E. Curtis and Jorge Nocedal},
title = {{An Inexact SQP Method for Equality Constrained Optimization}},
journal = {{SIAM Journal on Optimization}},
volume = {19},
number = {1},
pages = {351--369},
year = {2008},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ByrdCurtNoce08.pdf},
papercite = {2. Journal Articles}
}
  • [Download PDF] Frank E. Curtis and Jorge Nocedal. Flexible Penalty Functions for Nonlinear Constrained Optimization. IMA Journal of Numerical Analysis, 28(4):749–769, 2008. [Bibtex] 
    @article{CurtNoce08,
author = {Frank E. Curtis and Jorge Nocedal},
title = {{Flexible Penalty Functions for Nonlinear Constrained Optimization}},
journal = {{IMA Journal of Numerical Analysis}},
volume = {28},
number = {4},
pages = {749--769},
year = {2008},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtNoce08.pdf},
papercite = {2. Journal Articles}
}

2007

  • [Download PDF] Frank E. Curtis. Inexact Sequential Quadratic Programming Methods for Large-Scale Nonlinear Optimization. PhD thesis, Department of Industrial Engineering and Management Science, Northwestern University, Evanston, IL, USA, 2007. [Bibtex] 
    @phdthesis{Curt07,
author = {Frank E. Curtis},
title = {{Inexact Sequential Quadratic Programming Methods for Large-Scale Nonlinear Optimization}},
school = {Department of Industrial Engineering and Management Science, Northwestern University, Evanston, IL, USA},
year = {2007},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/dissertations/Curt07.pdf},
papercite = {6. Theses}
}
  • [Download PDF] Frank E. Curtis and Jorge Nocedal. Steplength Selection in Interior-Point Methods for Quadratic Programming. Applied Mathematics Letters, 20(5):516–523, 2007. [Bibtex] 
    @article{CurtNoce07,
author = {Frank E. Curtis and Jorge Nocedal},
title = {{Steplength Selection in Interior-Point Methods for Quadratic Programming}},
journal = {{Applied Mathematics Letters}},
volume = {20},
number = {5},
pages = {516--523},
year = {2007},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtNoce07.pdf},
papercite = {2. Journal Articles}
}

2006

  • [Download PDF] Frank E. Curtis and Rex Kincaid. Determinant Optimization on Binary Matrices. American Journal of Mathematical and Management Sciences, 26(1–2):33–70, 2006. [Bibtex] 
    @article{CurtKinc06,
author = {Frank E. Curtis and Rex Kincaid},
title = {{Determinant Optimization on Binary Matrices}},
journal = {{American Journal of Mathematical and Management Sciences}},
volume = {26},
number = {1--2},
pages = {33--70},
year = {2006},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtKinc06.pdf},
papercite = {2. Journal Articles}
}

2004

  • [Download PDF] Frank E. Curtis, John Drew, Chi-Kwong Li, and Daniel Pragel. Central Groupoids, Central Digraphs, and Zero-One Matrices A Satisfying $A^2=J$. Journal of Combinatorial Theory, Series A, 105(1):35–50, 2004. [Bibtex] 
    @article{CurtDrewLiPrag04,
author = {Frank E. Curtis and John Drew and Chi-Kwong Li and Daniel Pragel},
title = {{Central Groupoids, Central Digraphs, and Zero-One Matrices A Satisfying $A^2=J$}},
journal = {{Journal of Combinatorial Theory, Series A}},
volume = {105},
number = {1},
pages = {35--50},
year = {2004},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtDrewLiPrag04.pdf},
papercite = {2. Journal Articles}
}

2003

  • [Download PDF] Frank E. Curtis. Special Classes of Zero-One Matrices. Undergraduate Honors Thesis, Department of Mathematics, College of William and Mary, Williamsburg, VA, USA, 2003. [Bibtex] 
    @unpublished{Curt03,
author = {Frank E. Curtis},
title = {{Special Classes of Zero-One Matrices}},
note = {Undergraduate Honors Thesis, Department of Mathematics, College of William and Mary, Williamsburg, VA, USA},
year = {2003},
url = {http://coral.ise.lehigh.edu/frankecurtis/files/dissertations/Curt03.pdf},
papercite = {6. Theses}
}