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The LU/AF scheme contains an iteration parameter that can be adjusted to improve iterative convergence rate.
The weighted method exhibits the best iterative convergence and the lowest BER at the same iteration compared with other methods at E b /N 0=4.4 dB.
Using the aforementioned milling force model and iterative methods, the milling force of each sampling point before iteration and after the iteration and the actual cutting depth U n after the iterative convergence are obtained as shown in Table 2, where n = 1,2,3, …, 17 is the number of sampling points.
The detailed iterative convergence calculation of it is derived.
It is effective for the iterative convergence calculation of multi-input multi-output approximate dynamic programming.
Few papers have derived its iterative convergence calculation, or the presented algorithm lacks rigorous mathematical basis.
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The solution process is iterative, but convergence may be slow as either or both materials approach the diffusion and/or atomic mix limits.
It is well known that the approximative solution of operator equation is closely related with the iterative sequence convergence of a fixed point of the mapping.
An improvement exceeding 0.8-dB0.8-dBis observed at BER lower than 10−7 at the price of a relatively small added complexity without sacrificing the iterative process convergence.
Colebrook equation suffers from being implicit in unknown friction factor and thus requires an iterative solution where convergence to 0.01% typically requires less than 7 iterations.
Iterative approach and convergence detection for improved computation speed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com