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Figure 5 Probability of convergence within iterations.
We find that the probability of convergence is satisfactory.
In Figure 5, we show the probability of convergence to the NE within iterations for and, respectively.
We further derive a pilot positioning scheme targeted to reduce the probability of convergence to a local maximum.
It is therefore important to calculate good initial guess for the channel parameters so that the probability of convergence to a local maximum is minimized.
The purpose of the pilots is, therefore, to enable sufficient quality channel parameters vector initialization so that the probability of convergence to a local maximum is minimized.
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The CAT model appears to be more robust than WAG against LBA artefacts, essentially because it correctly anticipates the high probability of convergences and reversions implied by the small effective size of the amino-acid alphabet at each site of the alignment.
Conversely, under the batch AR strategy, the probability of the convergence time under 55 epochs is only 50%% and actually 110 epochs are needed to achieve the probability of the convergence time of >90%%.
Voluntary instruments that are convertible into mandatory allowances imply less than a 20% probability of price convergence between the U.S. and Europe by 2013.
Taking the 31-km baseline as an example, it can be seen that the cumulative frequency percentage (probability) of the convergence time under 55 epochs is >90%% when using the SPAR strategy.
For this purpose, a particle swarm optimizer is first developed, which reduces the probability of premature convergence to local optima in the PSO (particle swarm optimization) by exploiting the particle's local social learning based on the idea of cyclic-network topology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com