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Table 8.3: The values of v against p for the EzIH2 11 queue deterministic arrivals, the value of 7 is always at least as large as that of p. This implies that in this queue, there is a clear tendency towards states with more customers queued. As an example, when b = 11 and /C = 10, we find 7 = 0.9613 in case p = 0.7273. Note that in both the examples the arrival process dominates the service process regarding the q influence on the caudal curve. Let us now return to the actual computation of the caudal curve. The Eigenvalues of R are defined as those values X for which Rx = X: for any :. To find them all, we have to find those values of X for which the determinant of (R - XI) equals zero. When doing so, we have to solve the so-called characteristic polynomial, which is of the same order as the number of rows (and columns) in R. If we have computed them all, we can select the largest one. Instead of computing all the Eigenvalues, we can also compute the largest one only, via a numerical procedure known as the Power method. This method can be described as follows. We choose an initial row-vector y and successively compute (k+l) = Ry( -l). Y
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One may view the middle tier core services as being generic building blocks for assembling portals. A speci c portal on the other hand includes a collection of metadata about the services it provides. We refer to this metadata as descriptors, which we de ne in XML. Both MCWP and Gateway de ne these metadata as a container hierarchy of XML schema: applications contain host computing resources, which contain speci c entities like queuing systems. Descriptors are divided into two types: abstract and instance descriptors. Abstract application descriptors contain the static information about how to use a particular application. Instance descriptors are used to collect information about a particular run by a particular user, which can be reused later by an archiving service and for pedigree. XML descriptors are used to describe data records that should remain long-lived or static. As an example, an application descriptor contains the information needed to run a particular code: the number of input and output les that must be speci ed on the command line, the method that the application uses for input and output, the machines that the code is installed on, and so on. Machine, or host, descriptors describe speci c computing resources, including the queuing systems used, the locations of application executables, and the location of the host s workspace. Taken together, these descriptors provide a general framework for building requests for speci c resources that can be used to generate batch queue scripts. Applications may be further chained together into a work ow. The GCE Application Metadata Working Group has been proposed as a forum for different groups to exchange ideas and examples of using application metadata, which may potentially lead to a standardization of some of the central concepts.
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Gradient styles ........................................................................................................294 Creating custom gradients ......................................................................................294 Editing solid gradients ............................................................................................297 Creating noise gradients ..........................................................................................301 Saving and managing gradients................................................................................304 Gradients and brush modes ....................................................................................305 Applying Strokes and Arrowheads ....................................................................................306 Stroking a selection outline......................................................................................307 Applying arrowheads to straight lines ......................................................................309 Summary ..........................................................................................................................311
FIGURE 31-17
By default, after each use of any of the 12 select/act tools, the Object Selection tool becomes active. However, if you double-click another tool, the tool is locked as the active tool until you choose a different tool. When a tool is locked, it appears in a darker shade. You can change the behavior to leave tools selected in Layout Preferences (by selecting the Always Lock Layout Tools checkbox; refer to Figure 6.1).
$target = "($ARGV[I])"; $radius = $ARGV[2] ; $width = 2*$radius;
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The general problem of extracting strings from a text is called tokenization, and the extracts are called tokens. This is a useful term since it covers any type of string, not just words, for example, telephone numbers, Web addresses, dollar amounts, stock prices, and so forth. One challenge of extracting words is how to define what a word is, and this is a complex issue. For example, in this book, sections 2.4.2 and 2.4.3 discuss the issues of hyphens and apostrophes, respectively. See section 4.2.2 of Foundations o Statistical Natural Language f Processing [75]for further discussion on defining a word. Moreover, many other specialized cases come to mind with a little thought. For example, this book has regexes and computer code, and each of these have unusual tokens. However, we usually focus on tokens arising from literature.
When you place a breakpoint inside a function, the Variables view displays tree items for any variables that are declared within the function. For example, the following code declares a variable named myVar data typed as a Number:
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