On the convergence rate of empirical estimates in chance constrained stochastic programming
Vlasta Kaňková (1990)
Kybernetika
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Vlasta Kaňková (1990)
Kybernetika
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Jitka Dupačová (1991)
Kybernetika
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Jitka Dupačová (2010)
Kybernetika
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In applications of geometric programming, some coefficients and/or exponents may not be precisely known. Stochastic geometric programming can be used to deal with such situations. In this paper, we shall indicate which stochastic programming approaches and which structural and distributional assumptions do not destroy the favorable structure of geometric programs. The already recognized possibilities are extended for a tracking model and stochastic sensitivity analysis is presented in...
Maria De Giuli, Giorgio Giorgi (2010)
Control and Cybernetics
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