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Such optimization problems are called stochastic optimal control problems.
Such optimization problems are highly nonlinear nonconvex, and thus, optimal solutions are unknown.
For such optimization problems, minimization means in general obtaining weak Pareto optimal solutions in the following sense.
The main idea to solve such optimization problems is to convexificate the function which needs to be optimized.
Mr. Godley did not see how such optimization is conceivable.
Such optimization is not adequate in practice.
However, there are fundamental difficulties in handling such optimization problems.
Such optimization of integer word length can save area.
Figure 4 describes the process of performing such optimization.
Various methods have been used to resolve such optimization problems.
There are many algorithms to perform such optimization tasks.
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