Standard Version of Starting Out with C++, 4th Edition

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Presentation transcript:

Standard Version of Starting Out with C++, 4th Edition Chapter 8 Searching and Sorting Arrays Copyright 2003 Scott/Jones Publishing

Topics 8.1 Introduction to Search Algorithms 8.3 Introduction to Sorting Algorithms 8.5 Sorting and Searching Vectors Chapter 8 slide 2

8.1 Introduction to Search Algorithms Search: locate an item in a list of information Two algorithms (methods): Linear search Binary search Chapter 8 slide 3

Linear Search Algorithm: set found to false; set position to –1; set index to 0 while index < number of elts. and found is false if list[index] is equal to search value found = true position = index end if add 1 to index end while return position Chapter 8 slide 4

Linear Search - Example Array numlist contains: Searching for the the value 11, linear search examines 17, 23, 5, and 11 Searching for the the value 7, linear search examines 17, 23, 5, 11, 2, 29, and 3 17 23 5 11 2 29 3 Chapter 8 slide 5

Linear Search - Tradeoffs Benefits: Easy algorithm to understand Array can be in any order Disadvantages: Inefficient (slow): for array of N elements, examines N/2 elements on average for value in array, N elements for value not in array Chapter 8 slide 6

Binary Search Requires array elements to be in order Divides the array into three sections: middle element elements on one side of the middle element elements on the other side of the middle element If the middle element is the correct value, done. Otherwise, go to step 1. using only the half of the array that may contain the correct value. Continue steps 1. and 2. until either the value is found or there are no more elements to examine Chapter 8 slide 7

Binary Search - Example Array numlist2 contains: Searching for the the value 11, binary search examines 11 and stops Searching for the the value 7, linear search examines 11, 3, 5, and stops 2 3 5 11 17 23 29 Chapter 8 slide 8

Binary Search - Tradeoffs Benefits: Much more efficient than linear search. For array of N elements, performs at most log2N comparisons Disadvantages: Requires that array elements be sorted Chapter 8 slide 9

8.3 Introduction to Sorting Algorithms Sort: arrange values into an order: Alphabetical Ascending numeric Descending numeric Two algorithms considered here: Bubble sort Selection sort Chapter 8 slide 10

Bubble Sort Concept: Compare 1st two elements If out of order, exchange them to put in order Move down one element, compare 2nd and 3rd elements, exchange if necessary. Continue until end of array. Pass through array again, exchanging as necessary Repeat until pass made with no exchanges Chapter 8 slide 11

Bubble Sort - Example Array numlist3 contains: 17 23 5 11 compare values 17 and 23 – in correct order, so no exchange compare values 23 and 11 – not in correct order, so exchange them compare values 23 and 5 – not in correct order, so exchange them Chapter 8 slide 12

Bubble Sort – Example (2) After first pass, array numlist3 contains: 17 5 11 23 compare values 17 and 5 – not in correct order, so exchange them compare values 17 and 23 – in correct order, so no exchange compare values 17 and 11 – not in correct order, so exchange them Chapter 8 slide 13

Bubble Sort – Example (3) After second pass, array numlist3 contains: 5 11 17 23 compare values 5 and 11 – in correct order, so no exchange compare values 17 and 23 – in correct order, so no exchange compare values 11 and 17 – in correct order, so no exchange No exchanges, so array is in order Chapter 8 slide 14

Bubble Sort - Tradeoffs Benefit: Easy to understand and implement Disadvantage: Inefficient: slow for large arrays Chapter 8 slide 15

Selection Sort Concept for sort in ascending order: Locate smallest element in array. Exchange it with element in position 0 Locate next smallest element in array. Exchange it with element in position 1. Continue until all elements are arranged in order Chapter 8 slide 16

Selection Sort - Example Array numlist contains: Smallest element is 2. Exchange 2 with element in 1st position in array: 11 2 29 3 2 11 29 3 Chapter 8 slide 17

Selection Sort – Example (2) Next smallest element is 3. Exchange 3 with element in 2nd position in array: Next smallest element is 11. Exchange 11 with element in 3rd position in array: 2 3 29 11 2 3 11 29 Chapter 8 slide 18

Selection Sort - Tradeoffs Benefit: More efficient than Bubble Sort, since fewer exchanges Disadvantage: May not be as easy as Bubble Sort to understand Chapter 8 slide 19

8.5 Sorting and Searching Vectors Sorting and searching algorithms can be applied to vectors as well as arrays Need slight modifications to functions to use vector arguments: vector <type> & used in prototype No need to indicate vector size – functions can use size member function to calculate Chapter 8 slide 20

Standard Version of Starting Out with C++, 4th Edition Chapter 8 Searching and Sorting Arrays Copyright 2003 Scott/Jones Publishing