000 01509nam a22002417a 4500
005 20260720144206.0
008 260720s2024 |||||||| |||| 00| 0 eng d
020 _a9781032196435
040 _cPK-LaUMT
082 _a519.6
_bMOD-
245 0 0 _aModern optimization methods for decision making under risk and uncertainty /
_cedited by Alexei A. Gaivoronski, Pavel S. Knopov and Volodymyr A. Zaslavskyi
260 _aBoca Raton :
_bCRC Press,
_c2024
300 _aviii, 380 p.
500 _aIndex present
520 _a"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
546 _aEng
650 _aMathematical programming
_913828
650 _aMathematical optimization
_91018
700 1 _aGaivoronski, Alexei A.
_913829
700 1 _aKnopov, Pavel S.
_913830
700 1 _aZaslavskyi, Volodymyr A.
_913831
942 _cBK
999 _c141510
_d141510