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operation However, we can use one of the generic data structures that we implement in Part IV Recall from the discussion in Section 77 that the data structures we implement in 19 follow a basic protocol that uses insert,remove,and findWe can then add f indKth to the implementation There are several similar alternatives All of them use the fact that, as discussed in Section 77, set could have supported the ranking operation in logarithmic time on average or logarithmic time in the worst case if we had used a sophisticated binary search tree Consequently, we can expect an O(N log N) algorithm if we exercise care The simplest method is to insert the items sequentially into a worst-case efficient binary search tree such as a red-black tree, an AA-tree, or a splay tree (we discuss these trees in later chapters) We can then call findKth and remove,as appropriate It turns out that a splay tree is an excellent choice for this application because the f indKth and insert operations are unusually efficient and remove is not terribly difficult to code We use an alternative here, however, because the implementations of these data structures that we provide in the later chapters leave implementing f indKth for you to do as an exercise We use the BinarySearchTreeWi thRank class that supports the f indKth operation and is completely implemented in Section 192 It is based on the simple binary search tree and thus does not have logarithmic worst-case performance but merely average-case performance Conseauentlv we cannot merelv insert the items seauentiallv: that would cause the , search tree to exhibit its worst-case performance There are several options One is to insert a random permutation of 1, , N into the search tree The other is to build a perfectly balanced binary search tree with a class method Because a class method would have access to the inner workings of the search tree, it could be done in linear time This routine is left for you to do as Exercise 1921 when search trees are discussed The method we use is to write a recursive routine that inserts items in a balanced order By inserting the middle item at the root and recursively building the two subtrees in the same manner, we obtain a balanced tree The cost of our routine is an acceptable O(N log N)Although not as efficient as the linear-time class routine, it does not adversely affect the asymptotic running time of the overall algorithm The remove operations are then guaranteed to be logarithmic This routine is called buildTree; it and the j osephus method are then coded as shown in Figure 143.



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With InfoPath e-mail forms, you, as a form template designer, can publish a form template to a number of e-mail recipients (as you ve already seen in 9) Then, users can ll out, reply to, forward, and submit forms completely from within Outlook 2007 without having to directly open InfoPath Users can open an InfoPath form in an e-mail item just as

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A balanced search tree will work, but it is not needed if we are careful and construct a simple binary search tree that is not unbalanced at the start A class method can be used to construct a perfectly palanced tree in linear time





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they would do with any other e-mail message Then, when they submit the form, a reply is sent to you as the publisher of the form template You can use Outlook to create a rule to store all the replies in a specialized InfoPath form folder, which will enable you to sort, lter, and group each of the replies based on content in the form itself This will allow you to quickly track each of the forms that were submitted back to you In addition, with InfoPath e-mail forms, you can merge multiple forms and export forms to Excel all from within Outlook

Let us return to the bank simulation problem described in the introduction Here, we have a system in which customers arrive and wait in line until one

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One fundamental problem that almost always needs to be addressed when performing updates to a database is how to handle concurrent updates to the same data Figure D4 depicts a simple example of how concurrent updates can cause problems In the figure, client 1 retrieves a row from the table Client 2 comes along next and retrieves the same row Client 2 is a little quicker in processing the row and commits its updates back to the database before client 1 The question that has to be addressed for concurrency is: What should happen when client 1 subsequently tries to write its changes to that same row

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Using workflows with InfoPath e-mail forms is supported only in the InfoPath 2007 client application due to its integration with Outlook 2007

/ / Recursively construct a perfectly balanced binary search / / tree by repeated insertions in O( N log N ) time

void buildTree( BinarySearch~reeWithRank<int> t, & int low, int high )

In this section, we will tell you all about InfoPath e-mail forms We ll show you how to design form templates and publish them by using e-mail, how to ll out these forms from within Outlook 2007, and how to create custom folders in Outlook to store InfoPath forms

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