Modern optimization methods for decision making under risk and uncertainty / edited by Alexei A. Gaivoronski, Pavel S. Knopov and Volodymyr A. Zaslavskyi

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TextPublication details: Boca Raton : CRC Press, 2024Description: viii, 380 pISBN:

9781032196435

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DDC classification:

519.6 MOD-

Summary: "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

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Current library	Call number	Status	Barcode
UMT Main Campus	519.6 MOD- (Browse shelf(Opens below))	Available	153340

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"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

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