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The rate of iteration is 100 times faster than in a traditional aerospace company.
Third, we have made important investments in our core computing infrastructure that provides us greater scalability and increases the rate of iteration on core technologies, like algorithmic search, as much as tenfold.
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In general, the convergence rate of inner iteration has great effect on total steps of the outer iteration.
Based on the fixed point theory, we have shown the convergence of the scheme (mathrm{PDFP}^{2}mathrm{O}) and the convergence rate of the iteration sequence under suitable conditions.
From the numerical experience, we observe that the convergence rate of S-iteration process is much quicker than that of the Ishikawa iteration process.
However, as the number of cell-edge users rises, the increasing rate of required iterations drops.
Among the usual optimization algorithms, such as the direct decent method and conjugate gradient method, the convergence rate of Newton iterations near the solution is the fastest (see [15]).
It essentially controls the convergence rate of the iterations as well.
Optimization algorithms operate using different parameters, e.g., GA uses crossover and mutation rates, number of iterations and populations, selection pressure and other parameters.
To accelerate the convergence rate of the modulus iteration method, Dong and Jiang [12] introduced a parameter and proposed a modified modulus iteration method.
In 2004, Berinde used the notion of rate of convergence for iterations method and showed that the Picard iteration converges faster than the Mann iteration for a class of quasi-contractive operators [14].
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