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The effect of non-deterministicactions. If actions are allowed to become non-deterministic (so that in attempting to move from one grid square to another, there is a certain probability that the agent will in fact move to an entirely different grid square), what effect does this have on the effectiveness of an agent

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1. When the data { d ( i ) u t }satisfy the nonstationary model (20.16), then the MSE is still given ,

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16.4. Polling models with IPP workload. Adapt the SPN-based polling models so that the arrival stream of jobs per station proceeds according to an IPP. How does this change affect the size of the underlying CTMC 16.5. Polling models with PH-distributed services. Adapt the SPN-based polling models so that job service times are PH-distributed. As possible PH-distributions, take an Erlang-Ic distribution and a hyper-exponential distribution (with k phases). How do these changes affect the size of the underlying CTMC 16.6. The availability model. Consider the following generalisation of the availability model of Section 16.3. We now deal with C class of components. Component class c E C = { 1,2, . e. , C} has n, components. Show that the number of tangible states in the underlying CTMC can be expressed as: NoS = l+ x

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FIGURE 20.33 The visitor can click the thumbnails on the left to change the displayed large image on the right. It s a very basic page (using the Centered Frame 1 Info Only style here), but it s a clean design, and it s simple to navigate.

The simplest concrete examples of the general one-step method (5.18) are the explicit and implicit Euler methods.

In the last section we have quantified and investigated the impact on the modem mode of CC1 switching regime of the AQAM scheme. Consequently, in this section we will investigate the impact of CC1 on the AQAM demodulation process in the presence of CCI. In order to isolate and study the impact of CC1 on the demodulation process, we have considered an interference-free scenario at the BS and a CCI-impaired receiver at the MS in a downlink SIRs considered here transmission scenario. This is justified upon assuming that the average are in excess of lOdB, which was shown to be sufficient for an AQAM scheme in terms of reliable channel quality estimation. In order to mitigate the impact of CC1 on the demodulation process, two different approaches are presented here. In the first approach we will utilize Joint Detection (JD) tech-

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The first column manages crossing intersections. To edit a crossing intersection, choose one of the tiles in the first column and click OK. The command prompts you to pick a first multiline and then a second multiline. MLEDIT always cuts the first multiline that you pick. The second one may be cut if it is called for by the edit type.

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