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CineMagic suggests a default name for your movie using CineMagic followed by a number (which is incremented by one for each new video) You ll almost certainly want to enter a more descriptive name for your movie After you ve specified the name that you want to use, click the Next button to continue

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Deletion of tuples from a relation is expressed in much the same way as a query The major difference is the use of D in place of P QBE (unlike SQL), lets us delete whole tuples, as well as values in selected columns When we delete information in only some of the columns, null values, speci ed by , are inserted We note that a D command operates on only one relation If we want to delete tuples from several relations, we must use one D operator for each relation Here are some examples of QBE delete requests: Delete customer Smith customer D customer-name Smith customer-street customer-city

The McGraw Hill Companies, 2001

Delete the branch-city value of the branch whose name is Perryridge branch branch-name Perryridge branch-city D assets

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The characteristics of the lter are signi cantly better already The response of the lter drops quickly over a small frequency range, and in practice it might be enough for many purposes A plot of a fourth-order Butterworth lter is shown in Fig 15-8 As n gets even larger, the behavior of the lter quickly approaches the ideal case In Fig 15-9, we show a plot for a twentieth-order Butterworth lter This is an essentially ideal low-pass lter, with a transfer function that rapidly drops to zero at the cutoff frequency c = 1 It is often preferred to have a low-pass lter with a cutoff of a desired sharpness That is, we may specify how rapidly the magnitude of the transfer function drops off This can be speci ed by choosing the order n of the Butterworth lter To determine the order of a Butterworth lter we begin by considering the limit of the transfer function at high frequency Looking at (1510) and letting c = 1 without loss of generality, notice that as gets large we can ignore the 1 in the

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Next you add the video clips that you want to include in your movie As Figure 12-5 shows, you do so by dragging and dropping clips from the library into the box below the viewer window The total length of your movie must be at least twice as long as whatever music you ll add, so that CineMagic has enough video to work with To the right of the box where you drop the videos are three controls You can click the upward-pointing arrow to move a selected clip up in the play list Clips that are higher in the play list will appear earlier in your video than ones that are lower in the play list You can use the downward-pointing arrow to move clips down in the play list, and you can use the X to delete selected clips from the play list

Thus, if before the delete operation the branch relation contains the tuple (Perryridge, Brooklyn, 50000), the delete results in the replacement of the preceding tuple with the tuple (Perryridge, , 50000) Delete all loans with a loan amount between $1300 and $1500 loan D loan-number y branch-name amount x

The analogy between 4NF and BCNF applies to the algorithm for decomposing a schema into 4NF Figure 719 shows the 4NF decomposition algorithm It is identical to the BCNF decomposition algorithm of Figure 713, except that it uses multivalued, instead of functional, dependencies and uses the restriction of D+ to Ri If we apply the algorithm of Figure 719 to BC-schema, we nd that customer-name loan-number is a nontrivial multivalued dependency, and customer-name is not a superkey for BC-schema Following the algorithm, we replace BC-schema by two schemas: Borrower-schema = (customer-name, loan-number) Customer-schema = (customer-name, customer-street, customer-city) This pair of schemas, which is in 4NF, eliminates the problem we encountered earlier with the redundancy of BC-schema

The McGraw Hill Companies, 2001

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