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Titlebook: Global Optimization in Action; Continuous and Lipsc János D. Pintér Book 1996 Springer Science+Business Media Dordrecht 1996 algorithm.algo

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Adaptive Stochastic Optimization Proceduress; . is the symbol of mathematical expectation (the expected values are supposed to exist). Note that (3.6.1) is a fairly general stochastic programming model form; it encompasses—under suitable transformations—the ‘model block’ and types discussed in the previous chapter.
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The CCR Model and Production Correspondence,ion. Obviously, in such cases it is desirable to decrease the number of necessary realizations of the involved random factors as much as possible, while prescribing accuracy and reliability levels (confidence intervals) of the estimated function values: this issue will be addressed below.
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Estimation of Noise-Perturbed Function Valuesion. Obviously, in such cases it is desirable to decrease the number of necessary realizations of the involved random factors as much as possible, while prescribing accuracy and reliability levels (confidence intervals) of the estimated function values: this issue will be addressed below.
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Solution Approachesn (1978), Žilinskas (1986), Pardalos and Rosen (1987), Forgó (1988), Rinnooy Kan and Timmer (1989), Törn and Žilinskas (1989), Horst (1990), Horst and Thy (1990, 1993), Zhigljaysky (1991), Zhigljaysky and Žilinskas (1991), Horst and Pardalos (1995).
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