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Query Tree A binary tree that indicates the steps required to arrive at the answer for the query. RA Expression A query in a relational algebra representation of a SQL query. RA Subexpression A subquery in a relational algebra that corresponds to a SQL query. Relational Algebra A procedural language in which the programmer speci es the steps required to get the answer. Relational Calculus A nonprocedural language in which the programmer speci es what is needed and the system determines how to get the answer. Rowid An internal representation of a row inside a relational database. Rule-Based Optimization (RBO) An optimization approach that uses a small set of rules to arrive at a near optimal query execution plan. Semi-join An approach for joining two tables that minimizes the amount of data transfer between DBEs in a distributed environment. Solution Space The set of all possible solutions to a problem, for example, all the implementation alternatives to carry out a given query. Sort Merge A join strategy that is carried out in two phases the sort phase and the merge phase. Structured Query Language (SQL) The de facto standard procedural language for all relational database management systems. Unique Index An index that allows only unique key values. Wrapper A software component that wraps a data source and provides a uniform interface to the outside world by hiding the speci cs of its representation and command interface.

to which it is closest. This representation has the advantage that it is easily carried to the fth dimension (discussed later). Saucier showed that the I II IV sphere was the most interstitially structured of all 10 spheres that are contained in the 5-D hypersphere; that difference, however, is quite relative in view of the many mixtures involving Factors III or V. Like Wiggins s (1980) two-dimensional interpersonal circumplex, Saucier s model uses octants, which are 45 deg wide, corresponding to a correlation of .707. Therefore, the variables assigned to such a segment may still form a fairly heterogeneous set. Hofstee et al. (1992) distinguished traits that had their primary loading on one factor and their secondary loading on another (e.g., I II ; sociable, social) and traits with a reverse pattern (II I ; merry, cheerful). This strategy amounts to slicing up a circle into 12 clock segments of 30 deg, corresponding to a correlation of .866. A reason for making these ner distinctions is that 30 deg is about the angular distance at which vectors are still given the same substantive interpretation (Haven & Ten Berge, 1977). If this amendment is worked into Saucier s model, it becomes identical to a three-dimensional version of the abridged circumplex. The Abridged Big Five Circumplex Model

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The fourth of the five properties you can use to control positioning with CSS is the position property. The position property takes one of three values: normal. This is the default value. Normal position simply means the rules you have learned thus far about CSS apply to your element, and it renders in a position based on the values you assign to it and the values of the previous normal elements. relative. This means relative to the position the element would have if it were defined as a statically positioned element. All children elements are positioned with this new relative position as their starting point. When positioning elements with the relative position, overlaying or obscuring other elements is possible. absolute. When you define an element as absolutely positioned, it is not included in the calculations used to position other elements on the page. The element is simply put where you tell it to be put. All children elements of this element are positioned relatively to this absolute position. When using absolute positioning, it is possible to overlay or obscure other elements.

To understand yield management, it is important that you know its interrelated components. Each part of yield management feeds into a network, which supports the goal of maximizing pro t for a hotel.

speed = 10; car.onEnterFrame = function() { with (car) { if (Key.isDown(Key.RIGHT)) { _x += speed; if (_x >= 339) { _x = 339; } _root.display = "Right"; } } };

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1 where H (X) is the entropy rate of English. Thus, log 27 E n log Sn is an upper bound on the entropy rate of English. The upper bound 1 estimate, H (X) = log 27 n log Sn , converges to H (X) with probability 1 if English is ergodic and the gambler uses b(x n ) = p(x n ). An experiment [131] with 12 subjects and a sample of 75 letters from the book Jefferson the Virginian by Dumas Malone (Little, Brown, Boston, 1948; the source used by Shannon) resulted in an estimate of 1.34 bits per letter for the entropy of English.