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// Given C , search for an endpoint E P findEP(C) for i = 0 to r - 1 Y = F,(C) for j = 1t o t for t =0 to m- 1 i f Y == EPie t h e n found = findKey(i,l,j) i f not found t h e n false alarm e l s e / / found = K r e t u r n ( found) end i f end i f next t Y = Fz(E(P,Y ) ) next j next i r e t u r n ( k e y not found) end findEP

25.2352 5.88

The Scene modes of the G11 are: Portrait Portrait scene mode is best utilized when you have one, two, or three people in the shot and are taking pictures from close range This mode selects the exposure setting with a bias toward aperture that emphasizes a shallow depth of eld to make the background softer or more out of focus Red-eye reduction is automatically turned on if the G11 determines ash is needed for the picture Landscape In Landscape scene mode, the aperture value is given more consideration to produce better depth of eld, resulting in better detail in far away objects and formations Color saturation leans toward greens and blues, and white balance is optimized for outdoor daylight Night Snapshot.

25.2352 4.33

2 2 11 2 11

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the algorithm in Table 4.2 corresponds to the steps illustrated in Figure 4.7. Recall that r is the number of tables, m is the number of chains per table and t is the length of each chain. Also note that searching for a matching endpoint EPij in Table 4.2 can bc made considerably more efficient if the pairs (SPij,EPij) within each table are sorted by endpoints. That is, we sort the pairs (SPij,EPij) by EPij, where j = 0 , 1 , . . . , m - 1.

0.2593, so the studentized residuals are h15,15 2 h17,17 2 5.88 0.07372 2.67

25.235211 25.235211

In Trudy s ideal world, all of the rmt chain elements would be distinct,. If this werc the case, then the chance of finding a randomly selected key would he r m t / 2 k (assuming rmt 5 2 k ; otherwise the probability would be one). Due to the merging and cycling discussed above, the real world is not so kind tjo Trudy (which is fortunate for Alice and Bob). While random functions help: they can only reduce the severity of the problem. Below we consider the probability of success in more detail.

4.33 0.25932

Notice that the studentized residuals are larger than the corresponding standardized residuals. However, the studentized residuals are still not so large as to cause us serious concern about possible outliers.

For many block ciphers k # n; DES has ri = 64 and k = 56, for example, while AES offers several combinations of block and key lengths. If the hlock length is not equal to thc key length, then we cannot directly use the Ciphertext C as a key K . This situation is only a minor nuisance which is easily resolved in practice by either truncating or expanding the ciphertext

12-5.2

When using multiple regression, we occasionally find that some subset of the observations is unusually influential. Sometimes these influential observations are relatively far away from the vicinity where the rest of the data were collected. A hypothetical situation for two variables is depicted in Fig. 12-10, where one observation in x-space is remote from the rest of the data. The disposition of points in the x-space is important in determining the properties of the model. For example, point (xi1, xi2) in Fig. 12-10 may be very influential in determining R2, the estimates of the regression coefficients, and the magnitude of the error mean square.

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