Sentence examples for multivariate function the from inspiring English sources

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While the probabilistic approach requires optimization of a multivariate function, the possibilistic approach reduces the study to the optimization of a variable function.

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For FastIVA, it is a multivariate function of the summation of the desired signals in all frequency bins.

More generally, measuring a number of stem cell, differentiation or lineage markers, like promylelocytic or granulocyte markers in hematopoiesis, would enable a definition of the state of differentiation as a multivariate function of the measured markers.

Thus, any geological process is a multivariate function including the time variable.

The Hirshfeld molecule is an extension of the concept of Hirshfeld atom [22], which is not based on a quantum mechanical definition, as QTAIM, but on a rather simplified interpretation of a multivariate function, like the electron density when a breakdown into atomic terms is adopted.

The statistic of the joint acquisition is the multivariate function, so it is assumed that the receiver positions only in the X axis and Y axis is unknown to show the three-dimensional function.

On the other hand, singular points of the multivariate function can be easily detected as the branches of the joint contour net.

Artificial bee colony algorithm is an intelligent optimization algorithm proposed by Karaboga et al. [ 29– 31] to solve the multivariate function optimization problems based on the intelligent behavior of honey bee swarm.

The most interesting cases are problems which refer to multivariate functions, where the number of variables (dimension of the problem) is considered "huge".

A natural extension of the previous approach for multivariate data is to extract the intersection among inverse images of multiple function values first, and then track the topological changes inherent in that intersection with respect to the multivariate function value changes.

The results described so far suggested that it should be possible to improve the discrimination between cancer patients and normal controls by deriving multivariate functions, using the raw plasma amino-acid concentrations as explanatory variables, which would summarize the changes in metabolic status.

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