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And that leads to a lot of suboptimal solutions in the world.
But that imperative typically plays second fiddle to more parochial concerns, with the result that time is lost and suboptimal solutions are often chosen.
Otherwise, suboptimal solutions are obtained via the Chattering Lemma.
Gradient-based optimization methods can only converge to suboptimal solutions.
However, the preselection can fail, leading to suboptimal solutions.
Suboptimal solutions are therefore involved to approach the optimal solution.
This separation leads to suboptimal solutions if the prior working fluid selection fails.
We use this algorithm to show that neglecting transfers can lead to suboptimal solutions.
For that reason we present two simple algorithmic procedures in order to obtain suboptimal solutions.
The optimal solution is compared with suboptimal solutions corresponding to the other two candidate coupling schemes.
However, both methods are suboptimal solutions and may not have acceptable performance in different situations.
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