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The fundamental property of a dynamic simulator is causality and time correlation between events in the simulated network When an event (eg handover (HO) or PC command) is triggered, it has its cause in the past and consequence in the future With this kind of modelling of the system dynamics, the effect of feedback loops (input depends on the output) that are present in many algorithms can also be assessed Maybe the most important building blocks of this kind of dynamics are simulation time and user mobility, which are not relevant in static simulations These two features bring the needed determinism in the simulated system in each simulation step, the time is increased and mobiles move along their paths.

APIs_Reference.html: Contains the Google Web API documentation and can be read with any web browser. GoogleAPIDemo.java: A sample Java class that you can adapt. GoogleSearch.wsdl: Contains the WSDL for the entire Google Web API. LICENSE.txt: The license for using the kit. README.txt: A quick guide to the contents. dotnet/: Contains samples for the Windows .NET environment. googleapi.jar: The Java class for accessing the Google API. javadoc/: Contains Java documentation for the Java class in googleapi.jar. licenses/: Contains licenses for using different components. soap-samples/: Contains SOAP XML samples.

where r<t = {TI: 1 < t } is the set of prior observations, rt is the current observation, and r,t = (rl: I > t ) is the set of the future observations. Then the posterior probability of the transition (qt= p , Qt+l = q ) given the observed sequence r is

However, the movement of mobiles is not in any way necessary for a simulator to be a dynamic one the important thing is the time correlation of the signal with the evolving simulation time Dynamic simulators can be divided into two basic categories: they can be either eventdriven or time-driven In an event-driven simulator, the functionality is based on events (MS changes position, PC command is executed, etc) that are processed according to their order of appearance Events may generate tasks, which may be handled only after some time period or after some other event has occurred This approach resembles the behaviour of typical protocols It can save simulation time especially if the event s inter-arrival time is relatively long, because the simulator can jump directly to the next pre-calculated event.

Figure 8-5 (c) Vessel equipped with rotor stator and impeller. (Myers, 1999, reproduced with permission of AIChE 1999.)

Like C or C++, the Java programming language depends on a library of runtime code to interface with the system and to provide useful routines for common programming tasks. The language itself is thus kept fairly small with few keywords. Writing portable Java programs, however, depends on having a standard set of runtime classes that can be ported to different platforms along with the virtual machine. There are really two runtime libraries that accompany a virtual machine: one is a set of Java classes and the second is the native code required to completely implement those classes. Only the Java classes are visible to the programmer, of course, because the native code is called by invoking native methods on those classes. Unless the execution engine is written entirely in Java, however, there is no way to avoid using the native runtime library, because key parts of the Java runtime library require the cooperation of the virtual machine. Creating threads is a concrete example. Whether an operating system thread is created or whether the VM simulates threads with its own context switching, the VM needs to know that a new thread is being started so that it can

A quick and useful effect that you can create with tweened Instances is 3D depth, wherein your object appears to fly out from the canvas.