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Linux is a popular open-source operating system, and there have been many other very successful examples of open-source products as well. Whether you side with the vendors of proprietary software or with the open-source advocates, you must know and respect the copyright and patent laws. Sections 1.5, 1.6, and 2.3 of the ACM Code of Ethics clearly require the computer professional to recognize and respect copyright and patent protections.

Now the main (second) for loop progresses through n-1 iterations. Each iteration does two things: it swaps the root element with element a[i], and then it applies the heapify() function to the subtree of elements a[0..i). That subtree consists of the part of the array that is still unsorted. Before the swap() executes on each iteration, the subarray a[0..i] has the heap property, so a[i] is the largest element in that subarray. That means that the swap() puts element a[i] in its correct position. The first seven iterations of the main for loop have the effect shown by the seven pictures in Figure 14.4 on page 268. The array (and its corresponding imaginary binary tree) is partitioned into two parts: The first part is the subarray a[0..i) that has the heap property, and the second part is the remaining a[i..n) whose elements are in their correct positions. The second part is shaded in each of the seven pictures in Figure 14.4 on page 268. Each iteration of the main for loop decrements the size of the first part and increments the size of the second part. So when the loop has finished, the first part is empty and the second (sorted) part constitutes the entire array. This analysis verifies the following theorem.

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PRIVACY There is no question that information technology poses risks to our traditional beliefs about privacy Governments and companies can and do collect vast amounts of personal information about all of us Usually the information is collected and used for appropriate purposes, but the existence of the information does pose risks When you enter a toll road using an electronic tag to pay the toll, your travel will be tracked from the on-ramp to your exit When you use a grocery store card to get a discount on your shopping, the store will be collecting your personal shopping history When you complete your taxes, your personal financial details get stored in a vast data base of the tax-paying citizenry When you use a charge card, your purchases and payment history are recorded for purposes of rating your credit.

Theorem 1415 The heap sort is correct See Problem 1431 on page 277 Theorem 1416 The heap sort runs in O(n lgn) time Each call to the heapify() function takes at most lg n steps because it iterates only along a path from the current element down to a leaf The longest such path for a complete binary tree of n elements is lg n The heapify() function is called n/2 times in the first for loop and n 1 times in the second for loop That comes to less than (3n/2) lg n, which is proportional to n lg n.

There have been occasions when such data bases have been used in ways that some would say infringed on rights of privacy For instance, supposedly confidential census records were used by the US government during WWII to locate Japanese Americans and confine them to internment camps Data mining has also permitted governments and organizations to associate personal information from a variety of sources in order to learn more about individuals Many companies, and even governments, make available for use or for sale various data bases Such secondary use of data has a commercial value, because companies can refine their profiles of individuals and tailor marketing to them The government can use data mining to identify people who probably have underreported their taxes, or who apparently have links to terrorist organizations It s also true that information technology has been used to collect information from sources we usually consider private.

If we regard a sorting algorithm as a stream process wherein elements stream into an array in random order and then stream out in sorted order, then the heap sort can be regarded as an efficient mean between the extremes of the selection sort and the insertion sort The selection sort does all its sorting during the removal stage of the process, having stored the elements in the unsorted order in which they arrived The insertion sort does all its sorting during the insertion stage of the process so that the elements can stream out of the array in the sorted order in which they were stored But the heap sort does a partial sorting by inserting the elements into a heap and then finishes the sorting as the elements are removed from the heap.

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