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PLINK 1.9's implementation of this calculation is designed to compensate for GCTA 1.24's limitations it is cross-platform, works in low-memory environments, and uses double-precision arithmetic while remaining within a factor of 2-5 on speed.
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Since there are no off-the-shelf implementations of this calculation, this point is a deal breaker.
Global positioning system (GPS) is proposed for the practical implementation of the calculation of the global input to the fuzzy controller.
We increase p and go back to the update in (39) until E g α ˜ l, k ; Δ α ˜ k p − E g α ˜ l, k ; Δ α ˜ k p + 1 ≤ ρ., where ρ is a parameter small enough for the pre-determined threshold or p reaches a pre-determined maximum iteration number P. For computational efficiency, fast Fourier transform should be used in the implementation of the calculation above.
It is highly recommendable that the implementation of this feature in standard calculation methods is prescribed by regulations in force.
The Matlab® analysis and the developed comparisons allow quantifying the vibrational stress level that can be predetermined as a function of: degradation of road surface, speed and type of vehicle, with implementation of appropriate calculation procedures.
By involving hardware AGUs we achieved a speedup of approximately two, compared to the software implementation of address calculation, with a hardware overhead of only 7.6% in the worst case.
The development, design, and final implementation of this method is presented with calculations of expected theoretical accuracy and comparison with alternative methods.
This calculation dominates the computational complexity of the model (a low-complexity implementation of this equation is also available in [39]).
The efficiency of the presented development path becomes apparent in the implementation of the flicker calculation algorithm.
The paper presents new approach to design and implementation of an arithmetic calculation unit within FPGA devices.
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