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A variable is a named container for data. However, different variables have different origins, life spans, timeouts, and storage locations, and the collection of these properties together is known the scope of the variable. For instance, a variable that is specific to a single client is in the Client scope. Likewise, a variable that exists for all applications on the entire server is in the Server scope. The rest of this chapter will describe all of ColdFusion s scopes in detail. In addition to its scope, a variable is also said to be local or global. A variable is local when the template that created the variable is the only template that can use the variable. A variable is global when the variable can be accessed beyond the template that created it. Figure 12-1 shows ColdFusion s variable scopes, arranged by whether they are local or global (how many templates can see the variables in each scope) and how persistent variables in each scope are (how long variables in each scope live). We explain scope and persistence in greater detail throughout this chapter. Note that a Client-scoped variable, a variable in the Client scope, and a Client variable all refer to the same thing; they are just three ways to describe a variable that lives in the Client scope.

LLE for dimension reduction is to nd a lower-dimensional embedding yi characterized by the same weighted linear combination of the neighbors with xi . For each point in the D-dimensional sample space, the LLE algorithm can be summarized as follows: 1. Using the Euclidean distance measure, nd K nearest neighbors of a data point xi among N training images: x1 , x2 , . . . , xj , . . . xK . 2. Calculate the optimal weights of the neighbors such that minimize the reconstruction error: w ij

Scope Versus Persistence Non-Persistent (Do not exist past a single request) Local (Seen only by a single template and its CFINCLUDEd templates) Persistent (Exist across multiple requests)

(Ask yourself: Why is this cell empty )

wij = 1, (12.34)

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Non-Redundant = Four or less piles under one pile cap ( = 3.0 pf = 0.1%) Redundant = Five piles or more under one pile cap ( = 2.33 pf = 1.0%) = bias = Mean KSX = measured/predicted / = ef ciency factor, evaluating the relative economic performance of each method (the higher the better) / values relate to the exact calculated and and not to the assigned values in the table

Global (Seen by all templates)

where Eq. (12.34) can be solved by Lagrange multiplier. 3. Compute the d-dimensional embedding which is best reconstructed by the same neighbors and weights where D d:

If a component is instantiated in the Session scope, its This-scoped variables will persist for the lifetime of the session, but this fact does not make the This scope itself a persistent scope Stored in a server disk structure: either the Registry or a database Stored in a client disk structure

2. 3.

(12.35)

resistance. These can also be found, with comment, in Withiam et al. (1997). The resistance factors from the 1998 code are based on FOSM calibrations using coef cients of variation based on expert opinion and a review of the literature, combined with calibrations back-calculated to earlier ASD codes (Table 18.10). A more recent study by Paikowsky et al. (2002) has introduced FORM calibrations to a series of comprehensive databases of pile and drilled shaft load test data. These results are shown in Table 18.11. AASHTO

A local variable can be seen only by a single template and any of its included templates. After the request for the template that originally set a local variable finishes, the variable disappears.

The optimal solution of yi in Eq. (12.35) is the smallest eigenvectors of matrix T (I W) where I is the N N identity matrix and W is the matrix (I W) consisting of {wij }; wij is 0 when xj is not xi s neighbor.

Local variables that are not specifically reserved for use with custom tags are part of the Variables scope. Take, for example, the following statement:

That statement is the same as this statement:

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