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An algorithm for quadratic programming

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Cited by:

  1. James Chok & Geoffrey M. Vasil, 2023. "Convex optimization over a probability simplex," Papers 2305.09046, arXiv.org.
  2. Sarah Perrin & Thierry Roncalli, 2019. "Machine Learning Optimization Algorithms & Portfolio Allocation," Papers 1909.10233, arXiv.org.
  3. Thomas Kerdreux & Alexandre d’Aspremont & Sebastian Pokutta, 2022. "Restarting Frank–Wolfe: Faster Rates under Hölderian Error Bounds," Journal of Optimization Theory and Applications, Springer, vol. 192(3), pages 799-829, March.
  4. Jiayang Li & Qianni Wang & Liyang Feng & Jun Xie & Yu Marco Nie, 2024. "A Day-to-Day Dynamical Approach to the Most Likely User Equilibrium Problem," Papers 2401.08013, arXiv.org.
  5. Chifaa Al Dahik & Zeina Al Masry & Stéphane Chrétien & Jean-Marc Nicod & Landy Rabehasaina, 2022. "An SDP Dual Relaxation for the Robust Shortest-Path Problem with Ellipsoidal Uncertainty: Pierra’s Decomposition Method and a New Primal Frank–Wolfe-Type Heuristics for Duality Gap Evaluation," Mathematics, MDPI, vol. 10(21), pages 1-21, October.
  6. Chi Xie & Xing Wu & Stephen Boyles, 2019. "Traffic equilibrium with a continuously distributed bound on travel weights: the rise of range anxiety and mental account," Annals of Operations Research, Springer, vol. 273(1), pages 279-310, February.
  7. Cai, Hanqing & Wang, Tengyao, 2023. "Estimation of high-dimensional change-points under a group sparsity structure," LSE Research Online Documents on Economics 118366, London School of Economics and Political Science, LSE Library.
  8. Norbert Remenyi & Xiaodong Luo, 2021. "Demand estimation from sales transaction data: practical extensions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 276-300, June.
  9. Yan Chen & Ward Whitt, 2022. "Applying optimization theory to study extremal GI/GI/1 transient mean waiting times," Queueing Systems: Theory and Applications, Springer, vol. 101(3), pages 197-220, August.
  10. A. Karakitsiou & A. Migdalas, 2016. "Convex optimization problems in supply chain planning and their solution by a column generation method based on the Frank Wolfe method," Operational Research, Springer, vol. 16(3), pages 401-421, October.
  11. Pi, J. & Wang, Honggang & Pardalos, Panos M., 2021. "A dual reformulation and solution framework for regularized convex clustering problems," European Journal of Operational Research, Elsevier, vol. 290(3), pages 844-856.
  12. Andreas Fischer & Alexey F. Izmailov & Mikhail V. Solodov, 2024. "The Levenberg–Marquardt method: an overview of modern convergence theories and more," Computational Optimization and Applications, Springer, vol. 89(1), pages 33-67, September.
  13. Miju Ahn & Xiaodong Luo & Sergey Shebalov, 2020. "Variable pricing: an integrated airline pricing and revenue management model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 421-435, December.
  14. Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023. "Synthetic Difference In Differences Estimation," Papers 2301.11859, arXiv.org, revised Feb 2023.
  15. Alberto Marchi, 2022. "On a primal-dual Newton proximal method for convex quadratic programs," Computational Optimization and Applications, Springer, vol. 81(2), pages 369-395, March.
  16. R. Díaz Millán & O. P. Ferreira & J. Ugon, 2023. "Approximate Douglas–Rachford algorithm for two-sets convex feasibility problems," Journal of Global Optimization, Springer, vol. 86(3), pages 621-636, July.
  17. Chao Sun & Yulin Chang & Yuji Shi & Lin Cheng & Jie Ma, 2019. "Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints," Networks and Spatial Economics, Springer, vol. 19(4), pages 1123-1142, December.
  18. Nguyen Ngoc Luan & Jen-Chih Yao, 2019. "Generalized polyhedral convex optimization problems," Journal of Global Optimization, Springer, vol. 75(3), pages 789-811, November.
  19. Labiba Noshin Asha & Arup Dey & Nita Yodo & Lucy G. Aragon, 2022. "Optimization Approaches for Multiple Conflicting Objectives in Sustainable Green Supply Chain Management," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
  20. Guillaume Sagnol & Edouard Pauwels, 2019. "An unexpected connection between Bayes A-optimal designs and the group lasso," Statistical Papers, Springer, vol. 60(2), pages 565-584, April.
  21. Fabiana R. Oliveira & Orizon P. Ferreira & Gilson N. Silva, 2019. "Newton’s method with feasible inexact projections for solving constrained generalized equations," Computational Optimization and Applications, Springer, vol. 72(1), pages 159-177, January.
  22. Ali Fattahi & Sriram Dasu & Reza Ahmadi, 2019. "Mass Customization and “Forecasting Options’ Penetration Rates Problem”," Operations Research, INFORMS, vol. 67(4), pages 1120-1134, July.
  23. Pokojovy, Michael & Jobe, J. Marcus, 2022. "A robust deterministic affine-equivariant algorithm for multivariate location and scatter," Computational Statistics & Data Analysis, Elsevier, vol. 172(C).
  24. A. de Palma & Y. Nesterov, 2001. "Stationary Dynamic Solutions in Congested Transportation Networks: Summary and Perspectives," THEMA Working Papers 2001-19, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  25. Meruza Kubentayeva & Demyan Yarmoshik & Mikhail Persiianov & Alexey Kroshnin & Ekaterina Kotliarova & Nazarii Tupitsa & Dmitry Pasechnyuk & Alexander Gasnikov & Vladimir Shvetsov & Leonid Baryshev & A, 2024. "Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints," Computational Management Science, Springer, vol. 21(1), pages 1-33, June.
  26. Tran Nghi & Nguyen Nang Tam, 2020. "A Frank–Wolfe-Type Theorem for Cubic Programs and Solvability for Quadratic Variational Inequalities," Journal of Optimization Theory and Applications, Springer, vol. 187(2), pages 448-468, November.
  27. Joachim Merz & Henning Stolze, 2005. "Representative Time Use Data and Calibration of the American Time Use Studies 1965-1999," FFB-Discussionpaper 54, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg, revised Jan 2006.
  28. Wei-jie Cong & Le Wang & Hui Sun, 2020. "Rank-two update algorithm versus Frank–Wolfe algorithm with away steps for the weighted Euclidean one-center problem," Computational Optimization and Applications, Springer, vol. 75(1), pages 237-262, January.
  29. Kang, Seong-Cheol & Lee, Hoyoung, 2019. "Economic appraisal of implementing electric vehicle taxis in Seoul," Research in Transportation Economics, Elsevier, vol. 73(C), pages 45-52.
  30. Abdelfettah Laouzai & Rachid Ouafi, 2022. "A prediction model for atmospheric pollution reduction from urban traffic," Environment and Planning B, , vol. 49(2), pages 566-584, February.
  31. Yu Lin & Hongfei Jia & Bo Zou & Hongzhi Miao & Ruiyi Wu & Jingjing Tian & Guanfeng Wang, 2021. "Multiobjective Environmentally Sustainable Optimal Design of Dedicated Connected Autonomous Vehicle Lanes," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
  32. Monique Guignard & Aykut Ahlatcioglu, 2021. "The convex hull heuristic for nonlinear integer programming problems with linear constraints and application to quadratic 0–1 problems," Journal of Heuristics, Springer, vol. 27(1), pages 251-265, April.
  33. Tatsuki Yamauchi & Mizuyo Takamatsu & Shinji Imahori, 2023. "Optimizing train stopping patterns for congestion management," Public Transport, Springer, vol. 15(1), pages 1-29, March.
  34. Marta Rojo, 2020. "Evaluation of Traffic Assignment Models through Simulation," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
  35. Qiang Zhang & Shi Qiang Liu & Andrea D’Ariano, 2023. "Bi-objective bi-level optimization for integrating lane-level closure and reversal in redesigning transportation networks," Operational Research, Springer, vol. 23(2), pages 1-51, June.
  36. Almotahari, Amirmasoud & Yazici, M. Anil, 2019. "A link criticality index embedded in the convex combinations solution of user equilibrium traffic assignment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 67-82.
  37. Soumyadip Ghosh & Henry Lam, 2019. "Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees," Operations Research, INFORMS, vol. 67(1), pages 232-249, January.
  38. James T. Hungerford & Francesco Rinaldi, 2019. "A General Regularized Continuous Formulation for the Maximum Clique Problem," Management Science, INFORMS, vol. 44(4), pages 1161-1173, November.
  39. Jérôme Bolte & Cyrille W. Combettes & Edouard Pauwels, 2024. "The Iterates of the Frank–Wolfe Algorithm May Not Converge," Mathematics of Operations Research, INFORMS, vol. 49(4), pages 2565-2578, November.
  40. Shipra Agrawal & Nikhil R. Devanur, 2019. "Bandits with Global Convex Constraints and Objective," Operations Research, INFORMS, vol. 67(5), pages 1486-1502, September.
  41. Zhang, Jianhua & Shao, Wenchao & Yang, Liqiang & Zhao, Xun & Liu, Weizhi, 2023. "Robustness assessments of urban rail transit networks based on user equilibrium with time compensation mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
  42. Taesung Hwang, 2021. "Assignment of Freight Truck Shipment on the U.S. Highway Network," Sustainability, MDPI, vol. 13(11), pages 1-11, June.
  43. Jaume Barceló, 1997. "A survey of some mathematical programming models in transportation," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(1), pages 1-40, June.
  44. Ali Fattahi & Sriram Dasu & Reza Ahmadi, 2019. "The Weighted Nonnegative Least-Squares Problem with Implicitly Characterized Points," Operations Research, INFORMS, vol. 67(4), pages 1106-1119, July.
  45. A. Futschik & G.C. Pflug, 1996. "Asymptotically Optimal Allocation of Simulation Experiments in Discrete Stochastic Optimization," Working Papers wp96023, International Institute for Applied Systems Analysis.
  46. Michael W. Levin & Melissa Duell & S. Travis Waller, 2020. "Arrival Time Reliability in Strategic User Equilibrium," Networks and Spatial Economics, Springer, vol. 20(3), pages 803-831, September.
  47. Zhongzhu Chen & Marcia Fampa & Jon Lee, 2023. "On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem," INFORMS Journal on Computing, INFORMS, vol. 35(2), pages 368-385, March.
  48. Clara Lage & Claudia Sagastizábal & Mikhail Solodov, 2019. "Multiplier Stabilization Applied to Two-Stage Stochastic Programs," Journal of Optimization Theory and Applications, Springer, vol. 183(1), pages 158-178, October.
  49. Joshua T Vogelstein & John M Conroy & Vince Lyzinski & Louis J Podrazik & Steven G Kratzer & Eric T Harley & Donniell E Fishkind & R Jacob Vogelstein & Carey E Priebe, 2015. "Fast Approximate Quadratic Programming for Graph Matching," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-17, April.
  50. Chou, Chang-Chi & Chiang, Wen-Chu & Chen, Albert Y., 2022. "Emergency medical response in mass casualty incidents considering the traffic congestions in proximity on-site and hospital delays," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
  51. Tidswell, J. & Downward, A. & Thielen, C. & Raith, A., 2021. "Minimising emissions in traffic assignment with non-monotonic arc costs," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 70-90.
  52. Chi Sun & Weiqi Hong & Hao Li & Chenjing Zhou, 2022. "Lane Optimization of Highway Reconstruction and Expansion Work Zone Considering Carbon Dioxide Emission Factors," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
  53. Zhiyong Huang & Ziyan Luo & Naihua Xiu, 2019. "High-Dimensional Least-Squares with Perfect Positive Correlation," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(04), pages 1-16, August.
  54. E. G. Birgin & J. M. Martínez, 2022. "Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients," Computational Optimization and Applications, Springer, vol. 81(3), pages 689-715, April.
  55. Bo Jiang & Tianyi Lin & Shiqian Ma & Shuzhong Zhang, 2019. "Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis," Computational Optimization and Applications, Springer, vol. 72(1), pages 115-157, January.
  56. JoongKoo Cho & Peter Gordon & James E. Moore II & Qisheng Pan & JiYoung Park & Harry W. Richardson, 2014. "TransNIEMO: Economic Impact Analysis Using a Model of Consistent Interregional Economic and Network Equilibria," CESifo Working Paper Series 4601, CESifo.
  57. Meruza Kubentayeva & Alexander Gasnikov, 2021. "Finding Equilibria in the Traffic Assignment Problem with Primal-Dual Gradient Methods for Stable Dynamics Model and Beckmann Model," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
  58. R. Díaz Millán & O. P. Ferreira & L. F. Prudente, 2021. "Alternating conditional gradient method for convex feasibility problems," Computational Optimization and Applications, Springer, vol. 80(1), pages 245-269, September.
  59. Timo Berthold & Andrea Lodi & Domenico Salvagnin, 2019. "Ten years of feasibility pump, and counting," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 7(1), pages 1-14, March.
  60. Yong Xia & Zi Xu, 2010. "An efficient Lagrangian smoothing heuristic for Max-Cut," Indian Journal of Pure and Applied Mathematics, Springer, vol. 41(5), pages 683-700, October.
  61. Juan Guillermo Garrido & Emilio Vilches, 2024. "Catching-Up Algorithm with Approximate Projections for Moreau’s Sweeping Processes," Journal of Optimization Theory and Applications, Springer, vol. 203(2), pages 1160-1187, November.
  62. Arezou Rahimi & Luis A. Vale-Silva & Maria Fälth Savitski & Jovan Tanevski & Julio Saez-Rodriguez, 2024. "DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  63. Hanghun Jo & Heungsoon Kim, 2021. "Developing a Traffic Model to Estimate Vehicle Emissions: An Application in Seoul, Korea," Sustainability, MDPI, vol. 13(17), pages 1-18, August.
  64. Trautman, Neal & Razban, Ali & Chen, Jie, 2021. "Overall chilled water system energy consumption modeling and optimization," Applied Energy, Elsevier, vol. 299(C).
  65. Shahirari, Siroos & Rashidi, Taha & Dixit, Vinayak & Robson, Edward, 2021. "Assessing economic benefits of transport projects using an integrated transport-CGE approach," Research in Transportation Economics, Elsevier, vol. 90(C).
  66. Li, Li & Li, Xiaopeng, 2019. "Parsimonious trajectory design of connected automated traffic," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 1-21.
  67. P. B. Assunção & O. P. Ferreira & L. F. Prudente, 2021. "Conditional gradient method for multiobjective optimization," Computational Optimization and Applications, Springer, vol. 78(3), pages 741-768, April.
  68. Chen, Yinghao & Song, Xiaopeng & Cheng, Qixiu & An, Qinhe & Zhang, Yuan, 2021. "A cordon-based reservation system for urban traffic management," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
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  71. Pranjal Awasthi & Bahman Kalantari & Yikai Zhang, 2020. "Robust vertex enumeration for convex hulls in high dimensions," Annals of Operations Research, Springer, vol. 295(1), pages 37-73, December.
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  73. Francesco Rinaldi & Damiano Zeffiro, 2023. "Avoiding bad steps in Frank-Wolfe variants," Computational Optimization and Applications, Springer, vol. 84(1), pages 225-264, January.
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  81. Jérôme Bolte & Cyrille W. Combettes & Edouard Pauwels, 2024. "The Iterates of the Frank–Wolfe Algorithm May Not Converge," Mathematics of Operations Research, INFORMS, vol. 49(4), pages 2565-2578, November.
  82. Yaohua Hu & Jiawen Li & Carisa Kwok Wai Yu, 2020. "Convergence rates of subgradient methods for quasi-convex optimization problems," Computational Optimization and Applications, Springer, vol. 77(1), pages 183-212, September.
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  90. Benjamin Grimmer, 2023. "General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds," Journal of Optimization Theory and Applications, Springer, vol. 197(1), pages 51-70, April.
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