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In order to design a heterogeneous material with an optimal microstructural architecture or tailor a specific elastic modulus, the numerical method proposed in this study can quickly provide information and allows easy implementation of calculations.
Four verification test problems are presented for checking the conceptual development and computational implementation of calculations to determine the probability of loss of assured safety (PLOAS) in temperature-dependent systems with multiple weak links (WLs) and strong links (SLs).
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As explained before, the methods of information theory used here correspond to the implementation of MI calculations and DPI to infer and prune respectively such networks.
The implementation of T2 calculations resulted in 22 false positive diagnoses of malignant FLL (13 FNHs, 8 haemangiomas, 1 cyst) and only one false negative case (biliary cystadenocarcinoma).
Global positioning system (GPS) is proposed for the practical implementation of the calculation of the global input to the fuzzy controller.
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.
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.
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.
This new modified Chapman function permits easier implementation of the numerical calculations.
This work addresses the issue of finding the programming procedure that results to the fastest implementation of the core calculations of the model predictive control (MPC) algorithms that are amenable to parallel processing on a real-time multiprocessing system.
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