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Professor Gerd Infanger
A fundamental problem of decision sciences is finding an optimal solution
when some of the parameters of a planning or design problem (e.g., coefficients
and right hand sides of a linear program) are not known with certainty.
Such problems when converted to deterministic equivalent form, were too
large to solve in practice. The seminar discusses recent advances in stochastic
programming and its applications (e.g., finance, transportation, electric-power
systems planning, and manufacturing – supply chain planning). |