01425nam a22002177a 450000500170000000800410001702000180005804000130007608200160008924501590010526000350026430000170029950000180031652007290033454600080106365000290107165000300110070000270113070000210115770000290117820260720144206.0260720s2024    |||||||| |||| 00| 0 eng d  a9781032196435  cPK-LaUMT  a519.6bMOD-00aModern optimization methods for decision making under risk and uncertainty /cedited by Alexei A. Gaivoronski, Pavel S. Knopov and Volodymyr A. Zaslavskyi  aBoca Raton :bCRC Press,c2024  aviii, 380 p.  aIndex present  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  aEng  aMathematical programming  aMathematical optimization1 aGaivoronski, Alexei A.1 aKnopov, Pavel S.1 aZaslavskyi, Volodymyr A.