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Sometimes the perpetrators claim to be doing the victims a favor by exposing a weakness in the victims security! That argument can be addressed by analogy What would a homeowner think if some stranger came to the front door, the back door, the basement door, the windows, etc looking for a way to get in Most would think they were under assault, and would call the police! Most people feel they have a right to what is theirs, and to their peace of mind, regardless of the quality of their locks Software professionals should never condone the spreading of viruses, Trojan horses, or worms The ACM Code of Ethics provides clear guidance: 12 Avoid harm to others 13 Be honest and trustworthy 17 Respect the privacy of others 28 Access computing.. resources only when authorized to do so..

14.10 The merge sort, the quick sort, and the heap sort are all O(n lg n) algorithms. Which is the fastest and which is the slowest among them 14.11 Trace by hand the sorting of this array

int a[] = { 44, 88, 55, 99, 66, 33, 22, 88, 77 }

HACKERS Hackers are people who believe themselves to be, and who often are, astute technically. One page on the web defines hackers this way (http://tlc.discovery.com/convergence/hackers/glossary/glossary.html):

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by each of the following algorithms: a. The quick sort b. The heap sort c. The bubble sort d. The selection sort e. The insertion sort f. The merge sort 14.12 Modify the bubble sort so that it sorts the array in descending order. 14.13 Modify the bubble sort so that it is smart enough to terminate as soon as the array is sorted. 14.14 Prove Theorem 14.1 on page 257. 14.15 Prove Theorem 14.2 on page 257. 14.16 The shaker sort is the same as the bubble sort except that it alternates bubbling up and down the array. Implement the shaker sort, and determine whether it is more efficient than the straight insertion sort. 14.17 Modify the selection sort (Algorithm 14.2 on page 257) so that it uses the smallest element of {si . . . sn 1} in step 2. 14.18 Rewrite the selection sort recursively. 14.19 Prove Theorem 14.3 on page 258. 14.20 Prove Theorem 14.4 on page 258. 14.21 Modify the insertion sort so that it sorts the array indirectly. This requires a separate index array whose values are the indexes of the actual data elements. The indirect sort rearranges the index array, leaving the data array unchanged.

CHAP. 14]

hacker n. 1. A person who enjoys exploring the details of programmable systems and how to stretch their capabilities. 2. One who programs enthusiastically. 3. A person who is good at programming quickly. 4. An expert at a particular program, as in a Unix hacker. 5. [deprecated] A malicious meddler who tries to discover sensitive information by poking around. The correct term for this sense is cracker.

14.22 Rewrite the insertion sort recursively. 14.23 Prove Theorem 14.5 on page 259. 14.24 Prove Theorem 14.6 on page 259. 14.25 Prove Theorem 14.7 on page 259. 14.26 Modify the quick sort so that it selects its pivot as the last element instead of the first element of the subsequence. 14.27 Modify the quick sort so that it selects its pivot as the median of the first, middle, and last elements. 14.28 Modify the quick sort so that it reverts to the insertion sort when the array size is below 8. 14.29 Since the heap sort runs in O(n lgn) time, why isn t it always preferred over the quick sort, which runs in O(n2) in the worst case 14.30 Since the heap sort runs in O(n lgn) time and requires no extra array space, why isn t it always preferred over the merge sort, which requires duplicate array space 14.31 Prove Theorem 14.15 on page 269. 14.32 Here is the Las Vegas sort, as applied to sorting a deck of cards: 1. Randomly shuffle the cards. 2. If the deck is not sorted, repeat step 1. Derive the complexity function for this sorting algorithm.

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