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Compliance mapping is also illustrated.
To be more realistic for agriculture applications, an adaptive controller with projection mapping is also proposed.
The optimal Chebyshev mapping is also found to be essentially identical to the optimal least-squares solution.
The geostatistical mapping is also more accurate than conventional mapping, which uses the mean of observations within districts as the predicted value for all locations within the district, although the accuracy improvement is not very large.
Similarly, a nonincreasing mapping is also defined.
Non-US transit mapping is also available for China, Japan and parts of Europe.
Such a mapping is also called -inverse-strongly monotone.
So, the mapping is also nonexpansive for each.
A measurable mapping is also called a random variable.
The notion of a α-ψ contractive mapping is also defined in the following way.
Obviously, a firmly nonexpansive mapping is also nonexpansive, and strict contractivity implies contractivity.
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