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Iterative trial and error procedure is used to minimize the sum of square of errors.
Many times, the convergence to an optimal solution is obtained by iterative "trial and error", becoming a costly project.
We lose a commons, an ecosystem, a 'tangled bank' where serendipity, dirt, and iterative trial and error drive open innovation".
An iterative trial and error process can be employed when limited optimization is needed (Figure 5B left panel).
Newer approaches (e.g., SAEM) include stochastic estimation, refining estimates partially by iterative "trial and error".
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Situations like this make iterative trial-and-error approach very inefficient.
In industry, preforms are generally designed by the iterative trial-and-error approach.
Moreover, MBD-based framework that mainly relies on iterative trial-and-error analysis, is fairly time consuming.
Quite often the middleware provisioning activities are carried out by different actors without much interaction among them, which results in an iterative trial-and-error process to provisioning.
The process of innovation is frequently modeled as a bounded, iterative, trial-and-error search over a complex landscape using an NK model.
We formally characterize different planning problems, where solutions have a chance of success ("weak planning"), are guaranteed to achieve the goal ("strong planning"), or achieve the goal with iterative trial-and-error strategies ("strong cyclic planning").
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