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 Edited Volumes
 Review Articles
 Journal Articles
 Nonlinear Optimization Under Uncertainty
 LargeScale Constrained Nonlinear Optimization
 Nonconvex Unconstrained Optimization
 Nonsmooth Nonconvex Optimization
 Convex Optimization
 LargeScale Quadratic/Subproblem Optimization
 Infeasibility and Nonlinear Optimization
 Matrix Analysis and Optimization
 Conference Articles
 Dissertations
 Technical Reports
Edited Volumes
 T. Terlaky and F. 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 = {Terlaky, T. and Curtis, F. E.}, 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} }
Review and Tutorial Articles
 [Download PDF] F. E. Curtis and K. Scheinberg. Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning, chapter 5, pages 89114. Institute for Operations Research and the Management Sciences (INFORMS), 2017. [Bibtex]
@inbook{CurtSche17, author = {Curtis, F. E. and Scheinberg, K.}, 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 = {89114}, doi = {10.1287/educ.2017.0168}, url = {http://pubsonline.informs.org/doi/abs/10.1287/educ.2017.0168}, year = {2017} }
 [Download PDF] L. Bottou, F. E. Curtis, and J. Nocedal. Optimization Methods for LargeScale Machine Learning. arXiv 1606.04838, 2016. [Bibtex]
@unpublished{BottCurtNoce16, author = {Bottou, L. and Curtis, F. E. and Nocedal, J.}, title = {{Optimization Methods for LargeScale Machine Learning}}, note = {arXiv 1606.04838}, year = {2016}, url = {http://arxiv.org/abs/1606.04838} }
Journal Articles
Nonlinear Optimization Under Uncertainty
 [Download PDF] F. E. Curtis, A. Wächter, and V. M. Zavala. A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. Technical Report 16T012, COR@L Laboratory, Department of ISE, Lehigh University, 2016. [Bibtex]
@techreport{CurtWaecZava16, author = {Curtis, F. E. and W\"achter, A. and Zavala, V. M.}, title = {{A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints}}, institution = {COR@L Laboratory, Department of ISE, Lehigh University}, number = {16T012}, year = {2016}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtWaecZava16.pdf} }
LargeScale Constrained Nonlinear Optimization
 [Download PDF] F. E. Curtis, N. I. M. Gould, D. P. Robinson, and Ph. L. Toint. An InteriorPoint TrustFunnel Algorithm for Nonlinear Optimization. Mathematical Programming, 161(1):73134, 2017. [Bibtex]
@article{CurtGoulRobiToin17, author = {Curtis, F. E. and Gould, N. I. M. and Robinson, D. P. and Toint, Ph. L.}, title = {{An InteriorPoint TrustFunnel Algorithm for Nonlinear Optimization}}, journal = {{Mathematical Programming}}, volume = {161}, number = {1}, pages = {73134}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGoulRobiToin17.pdf} }
 [Download PDF] F. E. Curtis, N. I. M. Gould, H. Jiang, and D. P. Robinson. Adaptive Augmented Lagrangian Methods: Algorithms and Practical Numerical Experience. Optimization Methods and Software, 31(1):157186, 2016. [Bibtex]
@article{CurtGoulJianRobi16, author = {Curtis, F. E. and Gould, N. I. M. and Jiang, H. and Robinson, D. P.}, title = {{Adaptive Augmented Lagrangian Methods: Algorithms and Practical Numerical Experience}}, journal = {{Optimization Methods and Software}}, volume = {31}, number = {1}, pages = {157186}, year = {2016}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGoulJianRobi16.pdf} }
 [Download PDF] F. E. Curtis, H. Jiang, and D. P. Robinson. An Adaptive Augmented Lagrangian Method for LargeScale Constrained Optimization. Mathematical Programming, 152(1–2):201245, 2015. [Bibtex]
@article{CurtJianRobi15, author = {Curtis, F. E. and Jiang, H. and Robinson, D. P.}, title = {{An Adaptive Augmented Lagrangian Method for LargeScale Constrained Optimization}}, journal = {{Mathematical Programming}}, volume = {152}, number = {12}, pages = {201245}, year = {2015}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtJianRobi15.pdf} }
 [Download PDF] F. E. Curtis, T. Johnson, D. P. Robinson, and A. Wächter. An Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Optimization. SIAM Journal on Optimization, 24(3):10411074, 2014. [Bibtex]
@article{CurtJohnRobiWaec14, author = {Curtis, F. E. and Johnson, T. and Robinson, D. P. and W\"achter, A.}, title = {{An Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Optimization}}, journal = {{SIAM Journal on Optimization}}, volume = {24}, number = {3}, pages = {10411074}, year = {2014}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtJohnRobiWaec14.pdf} }
 [Download PDF] F. E. Curtis, J. Huber, O. Schenk, and A. Wächter. A Note on the Implementation of an InteriorPoint Algorithm for Nonlinear Optimization with Inexact Step Computations. Mathematical Programming, Series B, 136(1):209227, 2012. [Bibtex]
@article{CurtHubeScheWaec12, author = {Curtis, F. E. and Huber, J. and Schenk, O. and W\"{a}chter, A.}, title = {{A Note on the Implementation of an InteriorPoint Algorithm for Nonlinear Optimization with Inexact Step Computations}}, journal = {{Mathematical Programming, Series B}}, volume = {136}, number = {1}, pages = {209227}, year = {2012}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtHubeScheWaec12.pdf} }
 [Download PDF] F. E. Curtis, O. Schenk, and A. Wächter. An InteriorPoint Algorithm for LargeScale Nonlinear Optimization with Inexact Step Computations. SIAM Journal on Scientific Computing, 32(6):34473475, 2010. [Bibtex]
@article{CurtScheWaec10, author = {Curtis, F. E. and Schenk, O. and W\"{a}chter, A.}, title = {{An InteriorPoint Algorithm for LargeScale Nonlinear Optimization with Inexact Step Computations}}, journal = {{SIAM Journal on Scientific Computing}}, volume = {32}, number = {6}, pages = {34473475}, year = {2010}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtScheWaec10.pdf} }
 [Download PDF] R. H. Byrd, F. E. Curtis, and J. Nocedal. An Inexact Newton Method for Nonconvex Equality Constrained Optimization. Mathematical Programming, 122(2):273299, 2010. [Bibtex]
@article{ByrdCurtNoce10a, author = {Byrd, R. H. and Curtis, F. E. and Nocedal, J.}, title = {{An Inexact Newton Method for Nonconvex Equality Constrained Optimization}}, journal = {{Mathematical Programming}}, volume = {122}, number = {2}, pages = {273299}, year = {2010}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ByrdCurtNoce10a.pdf} }
 [Download PDF] F. E. Curtis, J. Nocedal, and A. Wächter. A MatrixFree Algorithm for Equality Constrained Optimization Problems with Rank Deficient Jacobians. SIAM Journal on Optimization, 20(3):12241249, 2009. [Bibtex]
@article{CurtNoceWaec09, author = {Curtis, F. E. and Nocedal, J. and W\"{a}chter, A.}, title = {{A MatrixFree Algorithm for Equality Constrained Optimization Problems with Rank Deficient Jacobians}}, journal = {{SIAM Journal on Optimization}}, volume = {20}, number = {3}, pages = {12241249}, year = {2009}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtNoceWaec09.pdf} }
 [Download PDF] F. E. Curtis and J. Nocedal. Flexible Penalty Functions for Nonlinear Constrained Optimization. IMA Journal of Numerical Analysis, 28(4):749769, 2008. [Bibtex]
@article{CurtNoce08, author = {Curtis, F. E. and Nocedal, J.}, title = {{Flexible Penalty Functions for Nonlinear Constrained Optimization}}, journal = {{IMA Journal of Numerical Analysis}}, volume = {28}, number = {4}, pages = {749769}, year = {2008}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtNoce08.pdf} }
 [Download PDF] R. H. Byrd, F. E. Curtis, and J. Nocedal. An Inexact SQP Method for Equality Constrained Optimization. SIAM Journal on Optimization, 19(1):351369, 2008. [Bibtex]
@article{ByrdCurtNoce08, author = {Byrd, R. H. and Curtis, F. E. and Nocedal, J.}, title = {{An Inexact SQP Method for Equality Constrained Optimization}}, journal = {{SIAM Journal on Optimization}}, volume = {19}, number = {1}, pages = {351369}, year = {2008}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ByrdCurtNoce08.pdf} }
Nonconvex Unconstrained Optimization
 [Download PDF] F. E. Curtis, D. P. Robinson, and M. Samadi. An Inexact Regularized Newton Framework with a WorstCase Iteration Complexity of $\mathcal{O}(\epsilon^{3/2})$ for Nonconvex Optimization. Technical Report 17T011, COR@L Laboratory, Department of ISE, Lehigh University, 2017. [Bibtex]
@techreport{CurtRobiSama17b, author = {Curtis, F. E. and Robinson, D. P. and Samadi, M.}, title = {{An Inexact Regularized Newton Framework with a WorstCase Iteration Complexity of $\mathcal{O}(\epsilon^{3/2})$ for Nonconvex Optimization}}, institution = {COR@L Laboratory, Department of ISE, Lehigh University}, number = {17T011}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiSama17b.pdf} }
 [Download PDF] F. E. Curtis, D. P. Robinson, and M. Samadi. Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization. Technical Report 16T013, COR@L Laboratory, Department of ISE, Lehigh University, 2016. [Bibtex]
@techreport{CurtRobiSama16, author = {Curtis, F. E. and Robinson, D. P. and Samadi, M.}, title = {{Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization}}, institution = {COR@L Laboratory, Department of ISE, Lehigh University}, number = {16T013}, year = {2016}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiSama16.pdf} }
 [Download PDF] F. E. Curtis and W. Guo. $R$Linear Convergence of Limited Memory Steepest Descent. Ima journal of numerical analysis, DOI: 10.1093/imanum/drx016, 2017. [Bibtex]
@article{CurtGuo17, author = {Curtis, F. E. and Guo, W.}, title = {{$R$Linear Convergence of Limited Memory Steepest Descent}}, journal = {IMA Journal of Numerical Analysis}, volume = {DOI: 10.1093/imanum/drx016}, number = {}, pages = {}, year = {2017}, url = {https://academic.oup.com//imajna/article/doi/10.1093/imanum/drx016/3749201/Rlinearconvergenceoflimitedmemorysteepest?guestAccessKey=c9a9b9c2144343a7ac4f1a1517e9fa56} }
 [Download PDF] F. E. Curtis, D. P. Robinson, and M. Samadi. A Trust Region Algorithm with a WorstCase Iteration Complexity of ${\cal O}(\epsilon^{3/2})$ for Nonconvex Optimization. Mathematical Programming, 162(1):132, 2017. [Bibtex]
@article{CurtRobiSama17, author = {Curtis, F. E. and Robinson, D. P. and Samadi, M.}, title = {{A Trust Region Algorithm with a WorstCase Iteration Complexity of ${\cal O}(\epsilon^{3/2})$ for Nonconvex Optimization}}, journal = {{Mathematical Programming}}, volume = {162}, number = {1}, pages = {132}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiSama17.pdf} }
 [Download PDF] F. E. Curtis and W. Guo. Handling Nonpositive Curvature in a Limited Memory Steepest Descent Method. IMA Journal of Numerical Analysis, 36(2):717742, 2016. [Bibtex]
@article{CurtGuo16, author = {Curtis, F. E. and Guo, W.}, title = {{Handling Nonpositive Curvature in a Limited Memory Steepest Descent Method}}, journal = {{IMA Journal of Numerical Analysis}}, volume = {36}, number = {2}, pages = {717742}, year = {2016}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtGuo16.pdf}, }
Nonsmooth Nonconvex Optimization
 [Download PDF] F. E. Curtis, D. P. Robinson, and B. Zhou. SelfCorrecting VariableMetric Algorithms for Nonsmooth Optimization. Technical Report 17T012, COR@L Laboratory, Department of ISE, Lehigh University, 2017. [Bibtex]
@techreport{CurtRobiZhou17, author = {Curtis, F. E. and Robinson, D. P. and Zhou, B.}, title = {{SelfCorrecting VariableMetric Algorithms for Nonsmooth Optimization}}, institution = {COR@L Laboratory, Department of ISE, Lehigh University}, number = {17T012}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobiZhou17.pdf} }
 [Download PDF] F. E. Curtis, T. Mitchell, and M. L. Overton. A BFGSSQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles. Optimization Methods and Software, 32(1):148181, 2017. [Bibtex]
@article{CurtMitcOver17, author = {Curtis, F. E. and Mitchell, T. and Overton, M. L.}, title = {{A BFGSSQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles}}, journal = {{Optimization Methods and Software}}, volume = {32}, number = {1}, pages = {148181}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtMitcOver17.pdf} }
 [Download PDF] F. E. Curtis and X. Que. A QuasiNewton Algorithm for Nonconvex, Nonsmooth Optimization with Global Convergence Guarantees. Mathematical Programming Computation, 7(4):399428, 2015. [Bibtex]
@article{CurtQue15, author = {Curtis, F. E. and Que, X.}, title = {{A QuasiNewton Algorithm for Nonconvex, Nonsmooth Optimization with Global Convergence Guarantees}}, journal = {{Mathematical Programming Computation}}, volume = {7}, number = {4}, pages = {399428}, year = {2015}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtQue15.pdf} }
 [Download PDF] F. E. Curtis and X. Que. An Adaptive Gradient Sampling Algorithm for Nonsmooth Optimization. Optimization Methods and Software, 28(6):13021324, 2013. [Bibtex]
@article{CurtQue13, author = {Curtis, F. E. and Que, X.}, title = {{An Adaptive Gradient Sampling Algorithm for Nonsmooth Optimization}}, journal = {{Optimization Methods and Software}}, volume = {28}, number = {6}, pages = {13021324}, year = {2013}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtQue13.pdf} }
 [Download PDF] F. E. Curtis and M. L. Overton. A Sequential Quadratic Programming Algorithm for Nonconvex, Nonsmooth Constrained Optimization. SIAM Journal on Optimization, 22(2):474500, 2012. [Bibtex]
@article{CurtOver12, author = {Curtis, F. E. and Overton, M. L.}, title = {{A Sequential Quadratic Programming Algorithm for Nonconvex, Nonsmooth Constrained Optimization}}, journal = {{SIAM Journal on Optimization}}, volume = {22}, number = {2}, pages = {474500}, year = {2012}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtOver12.pdf} }
Convex Optimization
 [Download PDF] C. Ma, M. Jaggi, F. E. Curtis, N. Srebro, and M. Takáč. An Accelerated CommunicationEfficient PrimalDual Optimization Framework for Structured Machine Learning. Technical Report 17T016, COR@L Laboratory, Department of ISE, Lehigh University, 2017. [Bibtex]
@techreport{MaJaggCurtSrebTaka17, author = {Ma, C. and Jaggi, M. and Curtis, F. E. and Srebro, N. and Tak\'a\v{c}, M.}, title = {{An Accelerated CommunicationEfficient PrimalDual Optimization Framework for Structured Machine Learning}}, institution = {COR@L Laboratory, Department of ISE, Lehigh University}, number = {17T016}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/MaJaggCurtSrebTaka17.pdf} }
 [Download PDF] T. Chen, F. E. Curtis, and D. P. Robinson. A ReducedSpace Algorithm for Minimizing $\ell_1$Regularized Convex Functions. SIAM Journal on Optimization, 27(3):15831610, 2017. [Bibtex]
@article{ChenCurtRobi17, author = {Chen, T. and Curtis, F. E. and Robinson, D. P.}, title = {{A ReducedSpace Algorithm for Minimizing $\ell_1$Regularized Convex Functions}}, journal = {{SIAM Journal on Optimization}}, volume = {27}, number = {3}, pages = {15831610}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ChenCurtRobi17.pdf} }
LargeScale Quadratic/Subproblem Optimization
 [Download PDF] F. E. Curtis and A. U. Raghunathan. Solving NearlySeparable Quadratic Optimization Problems as Nonsmooth Equations. Computational optimization and applications, 67(2):317360, 2017. [Bibtex]
@article{CurtRagh17, author = {Curtis, F. E. and Raghunathan, A. U.}, title = {{Solving NearlySeparable Quadratic Optimization Problems as Nonsmooth Equations}}, journal = {Computational Optimization and Applications}, volume = {67}, number = {2}, pages = {317360}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRagh17.pdf} }
 [Download PDF] F. E. Curtis and Z. Han. Globally Convergent PrimalDual ActiveSet Methods with Inexact Subproblem Solves. SIAM Journal on Optimization, 26(4):22612283, 2016. [Bibtex]
@article{CurtHan16, author = {Curtis, F. E. and Han, Z.}, title = {{Globally Convergent PrimalDual ActiveSet Methods with Inexact Subproblem Solves}}, journal = {{SIAM Journal on Optimization}}, volume = {26}, number = {4}, pages = {22612283}, year = {2016}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtHan16.pdf} }
 [Download PDF] J. V. Burke, F. E. Curtis, H. Wang, and J. Wang. Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets. SIAM Journal on Optimization, 25(1):261294, 2015. [Bibtex]
@article{BurkCurtWangWang15, author = {Burke, J. V. and Curtis, F. E. and Wang, H. and Wang, J.}, title = {{Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets}}, journal = {{SIAM Journal on Optimization}}, volume = {25}, number = {1}, pages = {261294}, year = {2015}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/BurkCurtWangWang15.pdf} }
 [Download PDF] F. E. Curtis, Z. Han, and D. P. Robinson. A Globally Convergent PrimalDual ActiveSet Framework for LargeScale Convex Quadratic Optimization. Computational Optimization and Applications, 60(2):311341, 2015. [Bibtex]
@article{CurtHanRobi15, author = {Curtis, F. E. and Han, Z. and Robinson, D. P.}, title = {{A Globally Convergent PrimalDual ActiveSet Framework for LargeScale Convex Quadratic Optimization}}, journal = {{Computational Optimization and Applications}}, volume = {60}, number = {2}, pages = {311341}, year = {2015}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtHanRobi15.pdf} }
 [Download PDF] F. E. Curtis and J. Nocedal. Steplength Selection in InteriorPoint Methods for Quadratic Programming. Applied Mathematics Letters, 20(5):516523, 2007. [Bibtex]
@article{CurtNoce07, author = {Curtis, F. E. and Nocedal, J.}, title = {{Steplength Selection in InteriorPoint Methods for Quadratic Programming}}, journal = {{Applied Mathematics Letters}}, volume = {20}, number = {5}, pages = {516523}, year = {2007}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtNoce07.pdf} }
Infeasibility and Nonlinear Optimization
 [Download PDF] J. V. Burke, F. E. Curtis, and H. Wang. A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection. SIAM Journal on Optimization, 24(2):839872, 2014. [Bibtex]
@article{BurkCurtWang14, author = {Burke, J. V. and Curtis, F. E. and Wang, H.}, title = {{A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection}}, journal = {{SIAM Journal on Optimization}}, volume = {24}, number = {2}, pages = {839872}, year = {2014}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/BurkCurtWang14.pdf} }

 (corrigendum to paper above)
 [Download PDF] F. E. Curtis. A PenaltyInteriorPoint Algorithm for Nonlinear Constrained Optimization. Mathematical Programming Computation, 4(2):181209, 2012. [Bibtex]
@article{Curt12, author = {Curtis, F. E.}, title = {{A PenaltyInteriorPoint Algorithm for Nonlinear Constrained Optimization}}, journal = {{Mathematical Programming Computation}}, volume = {4}, number = {2}, pages = {181209}, year = {2012}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/Curt12.pdf} }
 [Download PDF] R. H. Byrd, F. E. Curtis, and J. Nocedal. Infeasibility Detection and SQP Methods for Nonlinear Optimization. SIAM Journal on Optimization, 20(5):22812299, 2010. [Bibtex]
@article{ByrdCurtNoce10b, author = {Byrd, R. H. and Curtis, F. E. and Nocedal, J.}, title = {{Infeasibility Detection and SQP Methods for Nonlinear Optimization}}, journal = {{SIAM Journal on Optimization}}, volume = {20}, number = {5}, pages = {22812299}, year = {2010}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/ByrdCurtNoce10b.pdf} }
Matrix Analysis and Optimization
 [Download PDF] F. E. Curtis and R. Kincaid. Determinant Optimization on Binary Matrices. American Journal of Mathematical and Management Sciences, 26(1–2):3370, 2006. [Bibtex]
@article{CurtKinc06, author = {Curtis, F. E. and Kincaid, R.}, title = {{Determinant Optimization on Binary Matrices}}, journal = {{American Journal of Mathematical and Management Sciences}}, volume = {26}, number = {12}, pages = {3370}, year = {2006}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtKinc06.pdf} }
 [Download PDF] F. E. Curtis, J. Drew, C. K. Li, and D. Pragel. Central Groupoids, Central Digraphs, and ZeroOne Matrices A Satisfying $A^2=J$. Journal of Combinatorial Theory, Series A, 105(1):3550, 2004. [Bibtex]
@article{CurtDrewLiPrag04, author = {Curtis, F. E. and Drew, J. and Li, C.K. and Pragel, D.}, title = {{Central Groupoids, Central Digraphs, and ZeroOne Matrices A Satisfying $A^2=J$}}, journal = {{Journal of Combinatorial Theory, Series A}}, volume = {105}, number = {1}, pages = {3550}, year = {2004}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtDrewLiPrag04.pdf} }
Conference Articles
Stochastic Optimization
 [Download PDF] F. E. Curtis. A SelfCorrecting VariableMetric Algorithm for Stochastic Optimization. In Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016. JMLR. [Bibtex]
@conference{Curt16, author = {Curtis, F. E.}, title = {{A SelfCorrecting VariableMetric 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} }
 [Download PDF] F. E. Curtis and D. P. Robinson. Exploiting Negative Curvature in Deterministic and Stochastic Optimization. Technical Report 17T003, COR@L Laboratory, Department of ISE, Lehigh University, 2017. [Bibtex]
@techreport{CurtRobi17, author = {Curtis, F. E. and Robinson, D. P.}, title = {{Exploiting Negative Curvature in Deterministic and Stochastic Optimization}}, institution = {COR@L Laboratory, Department of ISE, Lehigh University}, number = {17T003}, year = {2017}, url = {http://coral.ise.lehigh.edu/frankecurtis/files/papers/CurtRobi17.pdf} }
Energy Applications
 [Download PDF] A. U. Raghunathan, F. E. Curtis, Y. Takaguchi, and H. Hashimoto. Accelerating Convergence to Competitive Equilibrium in Electricity Markets. In IEEE Power and Energy Society General Meeting, 2016. [Bibtex]
@conference{RaghCurtTakaHash16, author = {Raghunathan, A. U. and Curtis, F. E. and Takaguchi, Y. and Hashimoto, H.}, 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/} }
Dissertations
Doctoral Dissertation
 [Download PDF] F. E. Curtis. Inexact Sequential Quadratic Programming Methods for LargeScale Nonlinear Optimization. PhD thesis, Department of Industrial Engineering and Management Science, Northwestern University, Evanston, IL, USA, 2007. [Bibtex]
@phdthesis{Curt07, author = {Curtis, F. E.}, title = {{Inexact Sequential Quadratic Programming Methods for LargeScale 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} }
Undergraduate Honors Thesis
 [Download PDF] F. E. Curtis. Special Classes of ZeroOne Matrices. Undergraduate Honors Thesis, Department of Mathematics, College of William and Mary, Williamsburg, VA, USA, 2003. [Bibtex]
@unpublished{Curt03, author = {Curtis, F. E.}, title = {{Special Classes of ZeroOne 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} }
Technical Reports (Unpublished)
 [Download PDF] F. E. Curtis and Z. Han. Primaldual activeset methods for isotonic regression and trend filtering. arXiv 1508.02452, 2015. [Bibtex]
@unpublished{CurtHan15, author = {Curtis, F. E. and Han, Z.}, title = {PrimalDual ActiveSet Methods for Isotonic Regression and Trend Filtering}, note = {arXiv 1508.02452}, year = {2015}, url = {http://arxiv.org/abs/1508.02452} }