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This algorithm can be applied to a wide variety of molecular systems.
This algorithm can be applied to any method that generates or measures COD values.
This algorithm can be applied to various boundary conditions, lamination schemes and fiber angels.
With the characteristics of moving horizon this algorithm can be applied to online-optimization under uncertainty.
The proposed algorithm can be applied to a wide class of nonlinear parabolic differential equations.
Therefore, the EM-like algorithm can be applied to many other applications in array signal processing.
It could be proven that the proposed evolutionary algorithm can be applied to complex mathematical problems.
The results show that the algorithm can be applied to an actual system.
The algorithm can be applied to any complex model to quickly determine the probability distribution, or the most likely values, for an unknown parameter.
This algorithm can be applied to multiple signals from multiple locations collected at the same period of time.
As demonstrated with examples the Numerov-Cooley algorithm can be applied to more complicated potentials (especially multiminima potentials).
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