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Cheung et al. [14] proposed a method of extracting objectives that minimizes the correlation between reduced objectives using a linear combination of the original objectives.
The model minimizes the correlation among error terms across replicates.
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By minimizing the correlation residual with respect to the degrees of freedom, the full set of interfacial fracture properties is obtained through a one-step algorithm, revealing a substantial gain in terms of computational efficiency and robustness.
To overcome this problem, a novel design criterion comprising two conflicting objectives: (1) maximizing the information content (which is the usual objective in traditional OED), and (2) minimizing the correlation between estimated parameters, is proposed.
He's dreaming up the next hot investment - a low-cost product that uses optimal portfolio theory to allocate money between cheaply bought indices so as to minimize the correlation of the countries investors are exposed to in an effort to reduce their risk.
Rapid event-related designs with variable ISIs address these concerns by minimizing the correlation of task and speech-related signal changes without sacrificing efficiency; however, the increase in residual variance due to speech still decreases statistical power and must be explicitly addressed primarily through post-processing techniques.
The optimal block-size minimizing the correlation function is b max ∗ = N p LN u = 4.
The main idea in devising such a solution is to minimize the correlation between the data communicated.
De La Llera et al. (2005) proposed the weak torsional balance condition for system installed with friction dampers such as to minimize the correlation between translation and rotation.
To minimize the correlation matrix for the estimation error, the weight matrix W t) has to be determined as the inverse matrix of R b.
We have found that the optimal block-sizes that achieve maximum diversity are the ones that minimize the correlation between subcarriers.
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