Low order-value approach for solving VaR-constrained optimization problems
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DOI: 10.1007/s10898-011-9656-7
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Cited by:
- Wu, Meng & Zhu, Stuart X. & Teunter, Ruud H., 2013. "The risk-averse newsvendor problem with random capacity," European Journal of Operational Research, Elsevier, vol. 231(2), pages 328-336.
- Woodside-Oriakhi, M. & Lucas, C. & Beasley, J.E., 2013. "Portfolio rebalancing with an investment horizon and transaction costs," Omega, Elsevier, vol. 41(2), pages 406-420.
- E. V. Castelani & R. Lopes & W. V. I. Shirabayashi & F. N. C. Sobral, 2021. "A robust method based on LOVO functions for solving least squares problems," Journal of Global Optimization, Springer, vol. 80(2), pages 387-414, June.
- E. G. Birgin & J. M. Martínez, 2016. "On the application of an Augmented Lagrangian algorithm to some portfolio problems," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(1), pages 79-92, February.
- Zhongyi Jiang & Qiying Hu & Xiaojin Zheng, 2017. "Optimality condition and complexity of order-value optimization problems and low order-value optimization problems," Journal of Global Optimization, Springer, vol. 69(2), pages 511-523, October.
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More about this item
Keywords
Optimization; Augmented Lagrangian; Order-value optimization; Low order-value optimization; Value at risk; Numerical algorithms; 65Kxx; 47N10;All these keywords.
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