Class Map_count_meanKt
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- All Implemented Interfaces:
public final class Map_count_meanKt
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Method Summary
Modifier and Type Method Description final static DoubleArray
map_count_mean(MatrixCell MAP, DoubleArray t)
Computes the mean of the counting process over multiple specified interval lengths for a given Markovian Arrival Process (MAP). final static Double
map_count_mean(MatrixCell MAP, Double t)
Computes the mean of the counting process over a specified interval length for a given Markovian Arrival Process (MAP). -
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Method Detail
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map_count_mean
final static DoubleArray map_count_mean(MatrixCell MAP, DoubleArray t)
Computes the mean of the counting process over multiple specified interval lengths for a given Markovian Arrival Process (MAP).
This function calculates the mean number of events that occur in a MAP over each interval length provided in the array
t
. It uses the arrival rate of the MAP, denoted as lambda (λ), and multiplies it by each interval length. The results are returned in an array corresponding to the input intervals.- Parameters:
MAP
- The Markovian Arrival Process stored in a MatrixCell.t
- An array of interval lengths over which to compute the mean.- Returns:
An array of doubles, where each element represents the mean of the counting process over the corresponding interval length in
t
.
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map_count_mean
final static Double map_count_mean(MatrixCell MAP, Double t)
Computes the mean of the counting process over a specified interval length for a given Markovian Arrival Process (MAP).
This function calculates the mean number of events that occur in a MAP over an interval of length
t
. It uses the arrival rate of the MAP, denoted as lambda (λ), and multiplies it by the interval lengtht
.- Parameters:
MAP
- The Markovian Arrival Process stored in a MatrixCell.t
- The length of the interval over which to compute the mean.- Returns:
The mean of the counting process over the interval
t
.
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