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Variation and oscillation can be used to measure the speed of convergence of certain convergent families of operators.
Thus the sequence ((zeta_{n}(s))_{ngeq1}) converges with speed of convergence (n^{1-s}).
Generally, the speed of convergence of BPSO is fast; however, it has high risk of converging to local optimum.
The speed of convergence is (n^{-3}).
However, speed of convergence is different across different aggregation levels.
The IBA has a better performance and speed of convergence compared with bee algorithm (BA).
Two fitness functions were also developed for improving the speed of convergence of GAs.
The estimation of the speed of convergence comes from the Banach contraction principle.
The speed of convergence is one of the great advantages of spectral methods.
From this fact, we will be able to deduce the speed of convergence of to as.
The speed of convergence appears to be different before and after incorporating structural change.
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