Multistep optimization: Difference between revisions

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Latest revision as of 04:43, 22 February 2014

Multistep optimization or multistage optimization refers to a conceptual and computational method for optimization problems where several decision variables need to be chosen. The idea is to first find the optimal value for one of the variables, assuming the others are fixed (but arbitrary). Once this variable has been expressed as a function of the other variables, the optimization problem reduces to a problem of optimizing for the other variables.