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The Visual LISP window contains a number of tools that make your programming life simpler. These tools represent the difference from the old way of writing AutoLISP code, which involved creating text files in a text editor. The visual way involves working with tools that help you format and complete your code. Some of the more useful tools include: Format Edit Window: Choose Format Edit Window on the Tools toolbar (or choose Tools Format Code in Editor) to indent code (and comments) so that it s more readable. Indenting code helps you to understand the levels of nested parentheses more clearly. Of course, you can indent your code manually, but automatic indenting is a boon to all AutoLISP programmers. Format Selection: Select the code that you want to format. Then choose Format Selection on the Tools toolbar (or choose Tools Format Code in Selection) to indent only the selected code. Check Edit Window: Choose Check Edit Window from the Tools toolbar (or choose Tools Check Text in Editor) to perform a preliminary evaluation prior to loading the file. This evaluation checks the code for unbalanced parentheses, invalid function definition formatting (an attempt to redefine a built-in or protected function), and many other common errors. Visual LISP opens the Build Output window to show you the results. Check Selection: Select the code that you want to check. Choose Check Selection from the Tools toolbar (or choose Tools Check Selection) to perform a preliminary evaluation on selected code. Visual LISP opens the Build Output window to show you the results.



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The Search Results dialog box lists all the PDFs where at least one occurrence of the searched word(s) appears. The order displayed in the Search Results dialog box is according to a relative reference scheme based on the percentage of occurrences of the found word(s) to the number of words in the document. After you click Search in the Query dialog box, the Search Results dialog box appears (see Figure 2-32).





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For this limited example a backward DP algorithm generates only one state in stage 2 This greatly simpli es the optimization problem Later, we will illustrate in Figure 1614 that a forward DP approach would generate six different states The DP approach continues its backward solution procedure from each of the states by registering the optimal decision to take at each state At the next stage all feasible decisions are evaluated In case no feasible decision exists from some state at some stage, the branch in the DP graph is truncated This means that the branch appears to be infeasible, and the time spent on generating the branch is wasted As will be illustrated later, we state that the expected number of infeasible branches is reduced when one applies a backward solution procedure that starts at the tightest planning period.

Data are taken from Refs. [21, 22, 40, 41, 81 83].

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As in the multiple-period heuristic, the partly copied blueprints are completed by deciding about the positioning of train units departing in planning period 1 The state transition depends on the completed blueprint and the decisions taken concerning the positioning of the arriving train units In this case four feasible decisions with respect to the positioning of departure d3 and arrivals a1 and a2 should be evaluated in Figure 1613 However, all four decision result in the same state, and two of these decisions are suboptimal Since we have imposed a balance of train units by creating dummy trains in the pre-process of the heuristic, the starting state of stage 1 is an empty marshaling yard By the decisions at stage 1 and 2, all arrivals and departures are matched and all material is positioned at the sidings Hence, an optimal solution to the shunting problem is found.

Critical in-process control parameters must be speci ed by ranges, and fullrange monitoring is performed. The limit determined to be the worst case will be challenge at least twice and the other limit challenged at least once to complete the full-range monitoring. For critical process control parameters speci ed by xed points, the value ought to be challenged within an acceptable tolerance, typically 1 unit. All tests must be conducted by training and experienced technical personnel and must be documented in a scienti c manner using the established format of the protocol. Any test function that does not have results which support the parameters de ned in the approved protocol must be conclusively rationalized for their nonconformance and approved; otherwise, the quali cation will be considered invalid.

metrically disposed at the corners of an equilateral triangle, with the hydrogen atom at the center Such an arrangement is obviously favorable energetically, but by reasoning analogous to that put forth for symmetrical two-center bonding (Figure 102), it is unlikely to be the most favorable arrangement At the midpoint of the triangle, the hydrogen 1s orbital cannot interact with either of the two HOMOs On this basis, symmetrical three-center hydrogen bonding should be an extremely unlikely occurence Proton Abstraction Reactions Many reaction steps in organic chemistry require the abstraction of a proton by a Lewis base Interaction diagrams for the elementary stages for the reaction B: H A 3 B H A: are shown in Figure 101 The reaction parallels the SN 2 reaction; it is a nucleophilic substitution at H We will restrict our attention to reactions which involve an abstraction of a proton from C.

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