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The maximum absolute bandwidth of these optimized band-gaps is 0.1466(2πc/a).
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Ergo, the only random variable is the bandwidth of the available bands which is assumed to be uniformly distributed [18] with the limits of and, where and are the minimum and maximum available absolute bandwidths, respectively.
The bandwidth of a matrix A={aij} is defined as the maximum absolute difference between i and j for which aij≠0.
Maximum absolute per cent error.
Maximum absolute errors have been tabulated.
The maximum absolute error is (7.47 times10^{-4}).
Utility functions are used to map the resources (e.g., bandwidth, power,...), performance criteria (e.g., throughput, delay,...) and QoS requirements (e.g., maximum tolerable error rate, maximum absolute delay, maximum allowable outage delay probability,...) into the corresponding user's satisfaction.
An incremental bandwidth request is based on the additional amount of bandwidth needed while an aggregate bandwidth request is based on the absolute bandwidth needed.
The bandwidth minimization problem on graphs (BMPG) consists of labeling the vertices of a graph with the integers from 1 to n (n is the number of vertices) such that the maximum absolute difference between labels of adjacent vertices is as small as possible.
The maximum absolute errors are tabulated in Tables 4-6.
The minimum and maximum absolute percent errors are also shown.
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