01509nam a22002417a 4500 20260720144206.0 260720s2024 |||||||| |||| 00| 0 eng d 9781032196435 PK-LaUMT 519.6 MOD- Modern optimization methods for decision making under risk and uncertainty / edited by Alexei A. Gaivoronski, Pavel S. Knopov and Volodymyr A. Zaslavskyi Boca Raton : CRC Press, 2024 viii, 380 p. Index present "Uncertainties, risks, and disequilibria are pervasive characteristics of modern socio-economic, technological, and environmental systems involving interactions among various factors in economy, technology and nature. The systems are characterized by interdependencies, discontinuities, endogenous risks and thresholds, requiring non-smooth quantile-based performance indicators, goals and constraints for their explaining and planning. The two-stage stochastic optimization with stochastic quasi-gradients enables designing a robust portfolio of interdependent precautionary strategic and adaptive operational decisions making the systems resilient with respect to potential uncertainties and risks"-- Provided by publisher Eng Mathematical programming 13828 Mathematical optimization 1018 Gaivoronski, Alexei A. 13829 Knopov, Pavel S. 13830 Zaslavskyi, Volodymyr A. 13831 BK 141510 141510 0 0 0 0 01 01 2026-07-20 0 519.6 MOD- 153340 2026-07-20 14:42:24 2026-07-20 BK