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Standardized residual is used to describe the division of a residual by an estimate of its standard deviation, which is a useful method to find the hidden structures in the data (Huisman et al. 1993; Mohammadi et al. 2012).
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This theorem ensures the existence and uniqueness of fixed points of certain self-maps of metric spaces, and it gives a useful constructive method to find those fixed points.
We note some important consequences as follows: The Banach fixed point theorem ensures the existence and uniqueness of fixed points of certain self-maps of metric spaces, and it gives a useful constructive method to find those fixed points.
By comparing the predicted values with the experimental data – earlier deduced by Dash et al. – it is demonstrated that the combined GA ANN model is a useful and efficient method to find the optimal conditions for casting of Al Si alloys associated with the minimum porosity percent.
However, we consider using different methods to find as much information about a topic as possible extremely useful.
Use the same methods to find it.
The method is useful to find the locus of multistationarity in CRNs that display this property in a fully analytical way.
When other approaches are not available, the bootstrap method is a useful tool to find confidence intervals (CIs) for an arbitrary function of, say, 𝜗=h.
Unsupervised methods are very useful to find hidden structures in the unlabeled data and are often used as precursor to supervised methods when working on huge data sets.
Some several methods can be useful to find a solution of fluid flow and heat transfer problems such as the Finite Difference Method, the Finite Volume method (FVM), and the Finite Element Method (FEM).
This method enables to find useful and relevant features from an original feature space, which can effectively characterize big sets of data.
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