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There is a nearly complete convergence to narrow-wing solutions for the winged vehicle.
But in most cases, -means quickly reaches either complete convergence or a clustering that is close to convergence.
Our extensive sampling, orders of magnitude greater than the experimental folding time, results in complete convergence to ensemble equilibrium.
The proposed algorithm is applied to a multilayer perceptron with adjustable weights and a complete convergence proof is provided.
For example, Zhang [5] got complete convergence.
Chow [6] studied the complete convergence of,.
As applications, we study the complete convergence for it.
Hence complete moment convergence is more general than complete convergence.
Hsu and Robbins [1] introduced the concept of complete convergence.
However, we may have the complete convergence without this assumption.
Therefore, we first give the following complete convergence.
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