Degeneracy in infinite horizon optimization. - Sarah M. Ryan; James C. Bean (Math. Program., 1989)

A Tie-Breaking Rule for Discrete Infinite Horizon Optimization. - Sarah M. Ryan; James C. Bean; Robert L. Smith 002 (Oper. Res., 1992)

Chronological Influences of the Variance of Electric Power Production Costs. - Sarah M. Ryan; Mainak Mazumdar (Oper. Res., 1992)

Forecast frequency in rolling horizon hedging heuristics for capacity expansion. - Sarah M. Ryan (Eur. J. Oper. Res., 1998)

Capacity expansion for a loss system with exponential demand growth. - Alexander Simampo; Sarah M. Ryan (Comput. Oper. Res., 2003)

Capacity Expansion for Random Exponential Demand Growth with Lead Times. - Sarah M. Ryan (Manag. Sci., 2004)

Auto-steered Information-Decision Processes for Electric System Asset Management. - James D. McCalley; Vasant G. Honavar; Sarah M. Ryan; William Q. Meeker; Ronald A. Roberts; Daji Qiao; Yuan Li (International Conference on Computational Science (3), 2006)

Citizen-based assessment and improvement of e-government services for small and medium-sized communities. - K. Jo Min; John Jackman; Sarah M. Ryan; Patrick Patterson; Kent Bailey; Ann Wingerter; Gayle Trede (DG.O, 2007)

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management. - James D. McCalley; Vasant G. Honavar; Sarah M. Ryan; William Q. Meeker; Daji Qiao; Ronald A. Roberts; Yuan Li; Jyotishman Pathak; Mujing Ye; Yili Hong 001 (International Conference on Computational Science (1), 2007)

Understanding student pathways in context-rich problems. - Pavlo D. Antonenko; Craig A. Ogilvie; Dale S. Niederhauser; John Jackman; Piyamart Kumsaikaew; Rahul R. Marathe; Sarah M. Ryan (Educ. Inf. Technol., 2011)

Optimal Replacement in the Proportional Hazards Model With Semi-Markovian Covariate Process and Continuous Monitoring. - Xiang Wu; Sarah M. Ryan (IEEE Trans. Reliab., 2011)

Scenario construction and reduction applied to stochastic power generation expansion planning. - Yonghan Feng; Sarah M. Ryan (Comput. Oper. Res., 2013)

Guest Editorial: Introduction to the special section on optimization methods and algorithms applied to smart grid. - Yongpei Guan; Yong Fu; Cong Liu 004; Warren B. Powell; Sarah M. Ryan; Jean-Paul Watson; Lei Wu 004 (IEEE Trans. Smart Grid, 2013)

Impact of Demand Response on Thermal Generation Investment With High Wind Penetration. - Shan Jin; Audun Botterud; Sarah M. Ryan (IEEE Trans. Smart Grid, 2013)

Robust design of a closed-loop supply chain network for uncertain carbon regulations and random product flows. - Nan Gao; Sarah M. Ryan (EURO J. Transp. Logist., 2014)

Integration of progressive hedging and dual decomposition in stochastic integer programs. - Ge Guo 003; Gabriel Hackebeil; Sarah M. Ryan; Jean-Paul Watson; David L. Woodruff (Oper. Res. Lett., 2015)

Solution sensitivity-based scenario reduction for stochastic unit commitment. - Yonghan Feng; Sarah M. Ryan (Comput. Manag. Sci., 2016)

Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition. - Esmaeil Keyvanshokooh; Sarah M. Ryan; Elnaz Kabir (Eur. J. Oper. Res., 2016)

Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs. - Dinakar Gade; Gabriel Hackebeil; Sarah M. Ryan; Jean-Paul Watson; Roger J.-B. Wets; David L. Woodruff (Math. Program., 2016)

Conditions under which adjustability lowers the cost of a robust linear program. - Ali Haddad-Sisakht; Sarah M. Ryan (Ann. Oper. Res., 2018)

Observational data-based quality assessment of scenario generation for stochastic programs. - Didem Sari Ay; Sarah M. Ryan (Comput. Manag. Sci., 2019)

Land use optimization for nutrient reduction under stochastic precipitation rates. - Görkem Emirhüseyinoglu; Sarah M. Ryan (Environ. Model. Softw., 2020)

Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging. - Elizabeth M. Sweeney; Thanh D. Nguyen; Amy Kuceyeski; Sarah M. Ryan; Shun Zhang; Lily Zexter; Yi Wang 028; Susan A. Gauthier (NeuroImage, 2021)

Sequencing mixed-model assembly lines with risk-averse stochastic mixed-integer programming. - Ge Guo 003; Sarah M. Ryan (Int. J. Prod. Res., 2022)

Validation of scenario generation for decision-making using machine learning prediction models. - Görkem Emirhüseyinoglu; Mohsen Shahhosseini; Guiping Hu; Sarah M. Ryan (Optim. Lett., 2024)