Titlebook: Object-Oriented Computer Simulation of Discrete-Event Systems; Jerzy Tyszer Book 1999 Springer Science+Business Media New York 1999 Simula

Ondines-curse

Event scheduling,to be paid, however. The resulting simulation models are usually quite obscure. In addition, they require pretty sophisticated data structures to implement the simulation agenda. In this chapter we will describe the event-scheduling strategy and compare a view of the world it offers with that of the activity-scanning methodology.

鬧劇

Process interaction,er in a system being simulated. Processes created in this way are much easier to follow, maintain and debug. And it can be accomplished at the expense of only slightly more complicated implementations involving coroutines or software environment which can pattern their behavior.

brachial-plexus

Design of simulation experiments,cases just being aware of some (mostly analytical) results will allow one to save efforts of rediscovering these results through expensive simulation experiments. Subsequently we will turn our attention to a discussion of experimental design.

ALLAY

Collection and analysis of simulation results,f how to obtain reliable estimates of system performance measures at a reasonable cost. Clearly, the stochastic simulation can be viewed as a statistical experiment. Unfortunately, most simulations are much more complicated statistically than the experiments which are analyzed by classical methods of statistics.