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Based on these observations, we hypothesize that the objective function manifold that uses a combination of RMSE and constraints gets rid of various local minima that correspond to physically meaningless parameter estimates and thus facilitates a much more efficient estimation of parameter values.
Arellano and Bond (1991) then proposed a more efficient estimation procedure.
The future work in this area may build upon them to develop more efficient estimation and compensation techniques and hardware implementation.
The future work in this area may consider [57, 61, 63, 64] as baseline research work and further develop for more efficient estimation and compensation techniques and hardware implementation.
At the same time, (i) improvements in the a posteriori error bounds for nonaffine problems [38]; (ii) reduction of the complexity of the parametrized operators and more efficient estimation of lower bounds of stability factors (that is, coercivity or inf-sup constants) for complex nonaffine problems [86]; or (iii) more specialized RB spaces [87] are under investigation.
This led to more efficient estimation of associations of the prognostic variables of main interest.
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Although there are many different alternatives, MCMC-based particle filters have been shown to obtain the more efficient estimations of the posterior for high-dimensional problems [13] using the Metropolis-Hastings sampling algorithm.
Random intercept models, which utilise maximum-likelihood estimation, provide more efficient estimates of effects with unbalanced data than the traditional repeated measures approach [ 81].
In the presence of prior statistical information about the channel, a more efficient channel estimation technique can be used.
Such a block sparsity characteristic, embodied by inner-clusters MPCs, can be properly employed to further design a more efficient channel estimation algorithm with a much lower complexity.
Developing microstructure-property models is arguably the first necessary step toward design optimization and the more efficient, accurate estimation of the structural integrity of AM parts.
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