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Access has a size limit of about 2 GB. When an Access database gets close to this limit, performance will degrade rapidly. Additionally, the risk of database corruption increases as well. Properly designed Access Database applications should rarely approach this size limit. I have used Access databases that perform tons of query operations on several million record transaction tables and have rarely approached this limit. The most common cause of approaching this size limit is from not doing proper maintenance to the database. When you delete a large table of data in Access, you may think you are automatically reducing the size of the Access file. In fact, you are not. Access does not automatically release the storage space associated with a deleted table. Let s say you import a million row transaction table to your Access database only to realize that you forgot to import several relevant fields. Conscious of the size limits in Access, you delete the table and import another table with all the appropriate fields. Even though you have deleted the first table, Access still has not released the space and your file size has doubled. Another cause of this database bloat occurs when performing a series of action queries, making numerous intermediate tables for a final analysis. Even if those intermediate tables are deleted, Access is still allocating space for them. The solution to this problem is to routinely compact and repair your database. Press the Office File icon and select Manage, Compact and Repair Database (see Figure 1-23).

delete from Registration where firstName= Jonathan ;

The Gtj may be expressed in terms of the Qtj as Gij = 8 ^ + l/xn + Qu - Qin - Qjn + Qnn (D.3.4)

For more details see "VSAT Systems and earth stations". Supplement 3 to the 2nd Edition of the Handbook on satellite communications. ITU Radiocommunication Bureau.

The service interface must extend from java.rmi.Remote. All methods must throw a java.rmi.RemoteException. No method can be declared static or private. Method parameters and return types must be supported by JAX-RPC types. In our case, we will be using primitive and standard Java data types.

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Here we have calculated an Information ratio for each quarter starting in the fourth quarter of 1996 This quarter is the rst for which we have four prior quarters of data including the current quarter and the three prior, which are not shown Then, in the rst quarter of 1997, we calculated a new Information ratio including the returns from the rst quarter of 1997 and dropping the returns from the rst quarter of 1996 We did this for each period up to the current period in order to derive the rolling time series of Information ratios We can use this data in several ways First, we can look at the rank consistency of the three funds over time.

r = i+^(Gii-Gi2) = i -

We can see that there was a de nite pattern at the start and middle of the period under analysis, with Funds A and C dominating early on, and then a switch where Funds C and B dominated for a period More recently there has been no clear pattern, as the ranking has switched several times Exhibit 147 shows how we can get a better sense of the relative performance of the manager using a line graph In addition to giving us some information as to the relative performance of the managers, the rolling analysis gives us some information that we can use to put the performance into perspective For example, the yearly Information ratio for Fund B in the third quarter 1997 (14 periods ago) is an outlier.

We might discuss the situation with the manager and decide to exclude that period from the analysis when we better understand the reasons for the performance during that period Or alternatively, we could decide that that period is more representative of the manager s expected performance over a particular market cycle and overweight that period in our analysis of performance It also might be interesting to look more closely at the recent performance of Fund C..

B = 36 MHz* Mixer RF 4 GHz* Divider IF 70 MHz*

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