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using the weighted graph model in Figure 8.15. Note that the 2-hop path from the source node s s 1 to destination node 4 computed from the algorithm provides available bandwidth equal to 2, which is not optimal the path should go through node 3, which provides bandwidth 3.. This indicates a loss in accuracy of this algorithm. 8.2.4 Computational Complexity The approaches described above are based on either Bellman Ford or Dijkstra shortest-path algorithms. The Dijkstra algorithm has been traditionally considered more efficient for standard shortest-path computations because of its lower worst-case complexity. The benefit of using a Dijkstra algorithm in QoS path selection is a greater synergy with the existing open shortest path first OSPF. implementation. On-demand path computation of Dijkstra algorithm provides advantages in yielding better routes and minimizing the need for storage of data structures if there are few requests for QoS paths. The precomputed-path computation of the Dijkstra algorithm helps lower computational overhead but causes a loss in the accuracy of the precomputed paths. This is essentially the standard tradeoff between memory space, accuracy, and processing cycle. In the following, a number of considerations are reviewed in the context of multicriteria QoS paths, which indicate that a BF approach may often provide a lower-complexity solution. The asymptotic worst-case complexity of a binary-heap implementation of the Dijkstra algorithm is O E log V ., where V is the number of vertices in the graph, and E the number of edges. Detailed discussion can be found in w20x. The asymptotic worst-case bound for the BF algorithm is O H E ., where H is the maximum number of iterations of the algorithm and thus is

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If the measurement text itself does not appear the way you want it, you should change the annotation specifications in the dimension style. You can also specify a prefix or suffix (such as mm) for all dimensions, as I explain in the next chapter. You can delete the text and type your own dimension text, but you lose the ability of the dimension s measurement to automatically adjust to any change in the object s size.

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Opening a spam e-mail message can signal that your e-mail address is valid, but spammers also rely on another technique in their quest to find valid addresses the seemingly harmless out of office reply. Also referred to as an Autoresponder, these are messages that you typically configure when you re going to be away from e-mail for a few days. After enabled, every e-mail message that you receive from another user results in an automatic reply being sent back to the sender. Although legitimate senders usually appreciate out of office replies (because they know you re away and not ignoring them), they re also a boon to spammers who use the replies to determine that your address is valid. If you do plan on using out of office replies, create a rule that only sends these messages to people already in your address book or contact list. You learn more about creating e-mail message rules later in this chapter.

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First on the hit list is the home page. As with all of the XSQL pages, your first step is to link to the stylesheet in your XSQL. For home.xsql, you should add the following as the second line:

where x is the direction perpendicular to the edge, x0 is the location of the edge, -B, and B are the left and right boundaries of the image, and A is a constant. Mathematically the line spread function is the rst derivative of the edge spread function given by the equation LSF(x) = d[ESF(x)] dx (2.8)

Mesh generation proceeds in three stages. First, all global cells which lie entirely outside the model are eliminated (Fig. 4.2(a)). Then, the global cells are subdivided or 'refined' near the boundary in order to more closely approximate the shape of the flow domain (Fig. 4.2(b)). Finally, the refined cells are truncated to conform exactly to the original boundary (Fig. 4.2(c)).

= 0.98.

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