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Fig. 5 Parameter estimates and computational time.
Advantages of GMACE are: similarity to the current MACE system, ability to account for residual correlations when countries include foreign phenotypes in domestic genomic estimates, and computational feasibility for many countries and traits.
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The first strategy, referred to as adaptive selection of sample size, is employed to balance the trade-off between accurate fitness estimate and computational complexity.
Constraining the G-matrix has computational and analytical advantages: fewer parameters results in more robust estimates and lower computational requirements (Kirkpatrick and Meyer 2004).
The number of samples, the variance of the failure probability estimates and the computational time are reduced significantly compared with direct Monte Carlo simulations.
To balance estimate quality and computational effort, we also discuss an additional technique that improves the efficiency of our approach by dividing the overall problem in smaller subproblems.
We present several numerical examples with d= 2,3 and 4 that confirm the theoretical estimates of approximation order and computational complexity and compare the numerical performance of the proposed method with that of a well-known existing algorithm.
The assumption of constant frequencies and damping factors inside the no-basis windows decreases the number of unknown parameters to be estimated, and the computational effort is reduced significantly compared to the classical Prony or ESPRIT approach [32].
Results show that assessing identifiability of uncertain model parameters on the basis of the available dataset can provide valuable information about the quality of the parameter estimates and can reduce computational costs by selecting solely identifiable models among available candidates.
One other possible improvement is to introduce continuous state space for bar position and the velocity variables in order to have more accurate estimates and eliminate the computational needs of the large state space of the perception model.
Comparing the measured energy with the literature and computational estimates, the fully cured polymer appears to have a large portion of its moieties unreacted.
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