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We compute g of any argument by doubling it and adding 1. Thus equation ( ) equals 2 t2 2 t+1 +1
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Sells to existing, named, large customers on a worldwide basis Does not have local sales resources reports Sells to tax-supported entities such as government or military units Sells to a select list of large-named accounts Sells to a select list of existing, large accounts Sells to a select list of potential, major accounts who are now noncustomers Sells a new product to noncustomers creates market for product Sells to an identified list of accounts Sells to the headquarters of a major, named customer to secure vendor approval for local selling efforts by others Sells a specific product/service or application within a territory or to assigned accounts Sole owner of the buyer/account Sells to new customers via referrals from existing customers No assigned territory, a.k.a. daisy chain selling Sells to existing customers renewal of an existing contract Sells from existing floor inventory product (retail) Sells product and services to preidentified accounts both inbound and outbound sales efforts Sells products and services to nonassigned accounts both inbound and outbound
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Users can either manually enter the value for the condition or select the operand Value(s) From List (Figure 10-1, Step 1). This operand will send the object.lov query to the dimension table in the RDBMS (Step 2). The RDBMS sends the query results back to the Web Intelligence Report Server (or client for Desktop Intelligence) (Step 3). Users then select which condition value(s) they want in the original query condition (Step 4). When the user launches the main query, the .lov query is no longer involved. Also, if a user selects the operand type Constant and manually enters a filter value, then the .lov query is not involved. Once the user session has ended, the .lov file is no longer available, unlike in Desktop Intelligence, which permanently stores the object.lov file. For this reason, you as the designer must be particularly cognizant of long lists of values that are slow to generate. With BusinessObjects 6.5 and earlier, the way the repository was structured made exporting pregenerated lists of values to the repository exceedingly slow. A binary query file had to be extracted from the relational repository and rebuilt in the file system. With XI, when you export the universe and lists of values to the repository, it s primarily copying files to the file system, a significantly faster operation than in 6.5. With this change in architecture, then, long-time Business Objects customers have an opportunity to rethink their approach to lists of values. Designers can customize the object.lov query to shorten long lists of values. For example, if you have millions of products, you may want to prompt users first to select a product category, in what is referred to as cascading lists of values. If the users do not know the codes or spellings of the product categories, for example, then BusinessObjects XI may first launch a prodcat.lov query. In this respect, Steps 2 and 3 may be repeated multiple times until the user finally selects values to add to the query in Step 4. The size of the object.lov files also may change over time as the number of products changes or as users select different product categories.
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Production Essentials
1. In 1960, there were 102 known elements in the 2. What unique property of elements 103 and
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The second integral is evaluated similarly:
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because the discrete digital values never exactly match the analog signal.
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