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Conditional value-at-risk approximation to value-at-risk constrained programs : a remedy via Monte Carlo
Hong, L. Jeff; Hu, Zhaolin; Zhang, Liwei - In: INFORMS journal on computing : JOC 26 (2014) 2, pp. 385-400
Persistent link: https://www.econbiz.de/10010362435
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I-SMOOTH : iteratively smoothing mean-constrained and nonnegative piecewise-constant functions
Chen, Huifen; Schmeiser, Bruce - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 432-445
Persistent link: https://www.econbiz.de/10009784069
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I-SMOOTH : iteratively smoothing mean-constrained and nonnegative piecewise-constant functions
Chen, Huifen; Schmeiser, Bruce - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 432-445
Persistent link: https://www.econbiz.de/10009784071
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Model counting of monotone conjunctive normal form formulas with spectra
Vaisman, Radislav; Strichman, Ofer; Gercbach, Ilʹja B. - In: INFORMS journal on computing : JOC 27 (2015) 2, pp. 406-415
Persistent link: https://www.econbiz.de/10011291287
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Importance sampling in stochastic programming : a Markov chain Monte Carlo approach
Parpas, Panos; Ustun, Berk; Webster, Mort; Tran, Quang Kha - In: INFORMS journal on computing : JOC 27 (2015) 2, pp. 358-377
Persistent link: https://www.econbiz.de/10011291297