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ends after the requested URL is delivered to the client. As a result, if a LiveWire application consists of multiple documents, the same request object cannot be used with all the pages of the application. In such situations, the client object can be used to retain information across multiple pages of a LiveWire application. A client object is instantiated the first time a client accesses a URL. The client object is used as a temporary storage location to allow specific client information to be available to all the pages in a LiveWire application. Contrary to the request object, the client object uses only user defined properties to store information about the client of a particular application. The syntax for creating a new property for a client object is:

3

The size of the individual reservations affects not just the number of LSPs that are set up in the network but also the ability to find a path, especially following a failure and the overall utilization of the links. Link capacity is the gating factor on the size of the reservation. In the previous section we saw how this impacts the number of LSPs when the reservation requests exceed the link capacity. In a network that uses links of different capacities, using the minimum link capacity as a gating factor ensures that paths can be established across any of the links. This is especially important when rerouting following a failure. The downside is that using a smaller reservation size creates more LSPs in the network and introduces the challenge of efficiently load balancing the traffic over the LSPs. The granularity of the reservation can also affect the efficiency of the link utilization. In a network with links of equal capacity, if all the reservations are close to the maximum available bandwidth on each link, there will necessarily be unutilized bandwidth on all links that cannot be used by any of the reservations. In this case it might have been preferable to set up several reservations of sizes such that all the available bandwidth could be used. For example, if all links are of capacity 100 Mbps and all LSPs require 60 Mbps, better utilization can be achieved if instead of a single 60 Mbps reservation, several 20 Mbps reservations are made. The approach of setting up several LSPs rather than one is not always applicable. The LSPs may not have the same delay and jitter properties, and for this reason balancing the traffic between them may not always be possible. For example, if all 60 Mbps in

Rather than go through the tedium of creating all the files in the last section by hand again, we ll show you how XDoclet can simplify your life. The idea behind XDoclet is the automatic generation of support files, such as deployment descriptors, based on Javadoc comments within the source code. As we shall see, this is an eminently practical concept. Also, we will start using Ant build scripts to simplify the build process, because this is fast becoming the standard for building Java projects in any capacity, and it works like a charm. The following examples will assume that you have already installed Ant. Please refer to 4 for more information on installing these tools. There is a multitude of really good Ant build scripts, projects layouts, and other configuration-related material available. This project layout, and the Ant build script associated with it, is a stripped down version of one Stan normally uses for new projects. It has roots in the original XDoclet samples, but has evolved over the course of usage in real-world projects. As always, it is only a starting point, and each project tends to have unique requirements that warrant new tweaks and changes.

3.3 Bicycle racers come out of the fourth turn at the Alpenrose Velodrome and pour it on for the nish. A fast shutter speed freezes the closing moments of the race. Exposure: ISO 500, f/5.6, 1/4000 second.

where ( ek , Rk ) is obtained by stacking the individual terms together, as in eq. (3.12). Let us consider the most common case, involving optimization in pose space only where ek = e ( pk ): To optimize eq. (5.8), we can perform a Gauss Newton update:

NOTE - Read this table line per line; for a same colour (grey or white) the services allocated at each region and the footnotes corresponding are given.

A decision tree can be built from a data table using the Decision tree option. Decision trees are discussed in Myatt (2007). The tools for building a tree are shown in Fig. B.51. Any number of variables can be used as independent variables