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The OutputCache directive was removed from the HTML and the test was run again. Figure 14.17 shows the output of the test, overlaid with the previous test. Test number 4 represents the object-caching test, which did not perform as well as the page cache test (test 3). The benefit is that other parts of the page are still dynamic. Figure 14.18 shows the metrics of the test. The page cache test (test 3) was over seven times faster than the StringBuilder test (test 2), but this test (test 4) is only about five times faster than the StringBuilder test.

Let A denote the event that a sample is from supplier 1, and let B denote the event that a sample conforms to speci cations. If a sample is selected at random, determine the following probabilities: (a) P1A2 (b) P1B2 (c) P1A 2 (d) P1A B2 (e) P1A B2 (f) P1A B2 2-48. Use the axioms of probability to show the following: (a) For any event E, P1E 2 1 P1E2 . (b) P1 2 0 (c) If A is contained in B, then P1A2 P1B2

To print only a portion of a worksheet, select the cells that you want to print, click the Page Layout tab on the Ribbon, click the Print Area button and click Set Print Area.Then print as normal.

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Joint events are generated by applying basic set operations to individual events. Unions of events, such as A B; intersections of events, such as A B ; and complements of events, such as A , are commonly of interest. The probability of a joint event can often be determined from the probabilities of the individual events that comprise it. Basic set operations are also sometimes helpful in determining the probability of a joint event. In this section the focus is on unions of events.

When working with images, be sure to deliver the image to the browser using the same size that the browser uses to display the image. If a page is displaying thumbnail images that are 75 x 75 pixels, don t send the image to the browser at 1,200 x 1,200 pixels, because doing so uses all available network bandwidth. Images should be cached where possible, especially when the image is being loaded from a database.

EXAMPLE 2-13

Table 2-1 lists the history of 940 wafers in a semiconductor manufacturing process. Suppose one wafer is selected at random. Let H denote the event that the wafer contains high levels of contamination. Then, P1H2 358 940. Let C denote the event that the wafer is in the center of a sputtering tool. Then, P1C2 626 940. Also, P1H C2 is the probability that the wafer is from the center of the sputtering tool and contains high levels of contamination. Therefore, P1H C2 112 940

14

The event H C is the event that a wafer is from the center of the sputtering tool or contains high levels of contamination (or both). From the table, P1H C2 872 940. An alternative calculation of P1H C2 can be obtained as follows. The 112 wafers that comprise the event H C are included once in the calculation of P(H) and again in the calculation of P(C). Therefore, P1H C2 can be found to be P1H C2 P1H2 P1C2 P1H C2 358 940 626 940 112 940

872 940

Figure 14.18 The metrics of the object-caching test show a decrease in performance over page caching, but parts of the page can still be dynamic.

The preceding example illustrates that the probability of A or B is interpreted as P1A B2 and that the following general addition rule applies.

(2-1)

EXAMPLE 2-14

ViewState should be monitored, and a test should be run to determine whether it is better to store information in the ViewState or in the Session, Application, or Cache state. If a control is read-only, ViewState may not be necessary for the control. ViewState is turned on at the page level by default, but you can turn it off when it s not required. Also, ViewState should be reviewed on a per control basis to determine the control s impact on performance. Use a combination of Web Trace and ACT to determine what the impact of ViewState is for the current Web application. Performance will vary between Web pages.

The wafers such as those described in Example 2-13 were further classi ed as either in the center or at the edge of the sputtering tool that was used in manufacturing, and by the degree of contamination. Table 2-2 shows the proportion of wafers in each category. What is

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