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Modern optimization methods for decision making under risk and uncertainty /

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

9781032196435


Mathematical programming
Mathematical optimization

519.6 / MOD-