1 - 10 of 11 for QueueingNetworkProcessSearch Results
QueueingNetworkProcess   (Built-in Mathematica Symbol)
QueueingNetworkProcess[\[Gamma], r, \[Mu], c] represents an open (Jackson) queueing network process with arrival vector \[Gamma], routing probability matrix r, service vector ...
Queueing Processes   (Mathematica Guide)
A queueing process is a model of waiting lines, constructed so that queue length and waiting times can be predicted. Networks of connected queues allow similar models for ...
Random Processes   (Mathematica Guide)
A random process models the progression of a system over time, where the evolution is random rather than deterministic. The key point is that observations that are close in ...
QueueProperties   (Built-in Mathematica Symbol)
QueueProperties[qproc] gives a summary of properties for the queueing process qproc. QueueProperties[{qproc, i}] gives a summary of properties for the i\[Null]^th node in the ...
Mathematica 9 adds major extensions and integration across the system. Probability and statistics adds survival and reliability analysis as well as a unified treatment for ...
HypoexponentialDistribution   (Built-in Mathematica Symbol)
HypoexponentialDistribution[{\[Lambda]_1, ..., \[Lambda]_m}] represents an m-phase hypoexponential distribution with rates \[Lambda]_1, ..., \[Lambda]_m.
QueueingProcess   (Built-in Mathematica Symbol)
QueueingProcess[\[Lambda], \[Mu]] represents an M/M/1 queue with arrival rate \[Lambda] and service rate \[Mu]. QueueingProcess[\[Lambda], sdist] represents an M/G/1 queue ...
New in 9.0: Alphabetical Listing   (Mathematica Guide)
MATHEMATICA GUIDE Related Guides ▼ Index of All Functions Summary of New Features in 9.0 URL ▼ guide/NewIn90AlphabeticalListing Copy Mathematica URL Copy web URL Go to web ...
Units >, Quantity — represents a value associated with a unit, UnitConvert — convert between different units and unit systems, QuantityMagnitude — give the value associated ...
RandomFunction   (Built-in Mathematica Symbol)
RandomFunction[proc, {t_min, t_max}] generates a pseudorandom function from the process proc from t_min to t_max. RandomFunction[proc, {t_min, t_max, dt}] generates a ...
1|2