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which is the error involved in using the trapezoidal rule. Of course, we would like a suitable bound on this error. To obtain such a bound, we will assume that f (1) (x) and f (2) (x) both exist and are continuous on [a, b]. Let x be xed at some value such that a < x < b, and de ne g(t) = f (t) p(t) [f (x) p(x)] for t [a, b]. It is not dif cult to con rm that g(a) = g(b) = g(x) = 0, so g(t) vanishes at three different places on the interval [a, b]. Rolle s theorem1 says that there are points 1 (a, x), 2 (x, b) such that g (1) ( 1 ) = g (1) ( 2 ) = 0. Thus, g (1) (t) vanishes at two different places on (a, b), so yet again by Rolle s theorem there is a ( 1 , 2 ) such that g (2) ( ) = 0.

Downlink jitter computation The jitter of a speci c bearer service is de ned as the di erence between the one-way delays of the selected packet pair (e.g., consecutive packets). This section proposes a method for assessing delay variation as the di erence between maximum and minimum one-way delay for a pre-de ned percentile of the distribution of delay for all delivered SDUs during the lifetime of the bearer in question. Assuming that the distribution of delay is normal, this is exactly the con dence interval corresponding to a given probability. Hence, for bearer service i the delay variation for the Xth percentile of the distribution of delay for all delivered SDUs during the lifetime of bearer service i is: Ji 2 n Di where n relates to the level of con dence chosen by the operator. 9:23

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Ease of programming. You need to consider your background and the learning curve of using each technology (for example ColdFusion may be easier if you only know HTML, whereas PHP may be a better choice if you can already program in Perl or C). You also need to think about the availability of programmers in your area, whether your client wants to maintain the site themselves, and other issues. Consider maintainability as well as site construction. Portability. Can you easily move your site onto a different server platform or Web host How easy is it to find another Web host that supports the technology you are using Scalability. If your site gets a lot of visitors, or if it s featured on a major news or portal site (such as Slashdot, Yahoo, NBC, and so on), is the technology you have able to cope with the number of hits you are receiving Support. Is support for the technology readily available Is there a large user community that you can interact with if you have problems

The level of scienti c understanding of how formulation and manufacturing process factors affect product quality and performance The capability of process control strategies to prevent or mitigate the risk of producing a poor-quality product

3

First, you see the UCSICON system variable mentioned in the expression (getvar,ucsicon). Then you see the two commands at the end that issue the UCSICON system variable and turn it off and on.

You may have noticed that all of our sample documents begin with the same line. This is a processing instruction. Processing instructions give input to the application that is handling the document. The < xml version= 1.0 > processing instruction is required. It can also have an additional attribute to describe the character encoding of the document. Here is an example that reinforces the default encoding:

NMR at T = 2.3488 (MHz) 100 15.35 25.144 7.224 40.481 9.798 10.133

Note that the indicated decision variables are indeed variable, in the sense that values for these variables are not known in advance (i.e., before the model has been solved). Another decision variable that we need is the Makespan denoting the makespan corresponding to a certain assignment of jobs to machines. The latter is equal to the total time required to process all jobs. In this example, we state as objective that the Makespan is to be minimized. In the remainder of this chapter, we shall identify decision variables by using capitals as opposed to input parameters such as the processing times pj. In order to get a feasible plan, the decision variables Aj,m need to satisfy several constraints. First, each job is to be processed on exactly one machine. This is expressed by the following constraints: A j,1 A j,2 1 for j 1, . . . , 6 (8:2)

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