Chapter 19 Searching, Sorting and Big O

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Chapter 19 Searching, Sorting and Big O Java How to Program, 10/e Late Objects Version © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.1   Introduction Searching data involves determining whether a value (referred to as the search key) is present in the data and, if so, finding its location. Two popular search algorithms are the simple linear search and the faster but more complex binary search. Sorting places data in ascending or descending order, based on one or more sort keys. This chapter introduces two simple sorting algorithms, the selection sort and the insertion sort, along with the more efficient but more complex merge sort. Figure 19.1 summarizes the searching and sorting algorithms discussed in the examples and exercises of this book. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.2  Linear Search This section and Section 19.4 discuss two common search algorithms—one that’s easy to program yet relatively inefficient (linear search) and one that’s relatively efficient but more complex to program (binary search). © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.2  Linear Search (cont.) The linear search algorithm searches each element in an array sequentially. If the search key does not match an element in the array, the algorithm tests each element, and when the end of the array is reached, informs the user that the search key is not present. If the search key is in the array, the algorithm tests each element until it finds one that matches the search key and returns the index of that element. Class LinearSearchTest (Fig. 19.2) contains static method linearSearch for performing searches of an int array and main for testing linearSearch. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.5  Sorting Algorithms Sorting data (i.e., placing the data into some particular order, such as ascending or descending) is one of the most important computing applications. An important item to understand about sorting is that the end result—the sorted array—will be the same no matter which algorithm you use to sort the array. The choice of algorithm affects only the run time and memory use of the program. The rest of this chapter introduces three common sorting algorithms. The first two—selection sort and insertion sort—are easy to program but inefficient. The last algorithm—merge sort—is much faster than selection sort and insertion sort but harder to program. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.6 Selection Sort Selection sort simple, but inefficient, sorting algorithm Its first iteration selects the smallest element in the array and swaps it with the first element. The second iteration selects the second-smallest item (which is the smallest item of the remaining elements) and swaps it with the second element. The algorithm continues until the last iteration selects the second- largest element and swaps it with the second-to-last index, leaving the largest element in the last index. After the ith iteration, the smallest i items of the array will be sorted into increasing order in the first i elements of the array. After the first iteration, the smallest element is in the first position. After the second iteration, the two smallest elements are in order in the first two positions, etc. The selection sort algorithm runs in O(n2) time. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.6.1 Selection Sort Implementation Class SelectionSortTest (Fig. 19.4) contains: static method selectionSort to sort an int array using the selection sort algorithm static method swap to swap the values of two array elements static method printPass to display the array contents after each pass, and main to test method selectionSort. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.7 Insertion Sort Insertion sort another simple, but inefficient, sorting algorithm The first iteration takes the second element in the array and, if it’s less than the first element, swaps it with the first element. The second iteration looks at the third element and inserts it into the correct position with respect to the first two, so all three elements are in order. At the ith iteration of this algorithm, the first i elements in the original array will be sorted. The insertion sort algorithm also runs in O(n2) time. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

19.7.1 Insertion Sort Implementation Class InsertionSortTest (Fig. 19.5) contains: static method insertionSort to sort ints using the insertion sort algorithm static method printPass to display the array contents after each pass, and main to test method insertionSort. © Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.

© Copyright 1992-2015 by Pearson Education, Inc. All Rights Reserved.