18.5 (Bubble Sort) Implement the bubble sort-another simple, yet inefficient, sorting technique. It's called bubble sort or sinking sort because smaller values gradually “bubble" their way to the top of the array (i.e., toward the first element) like air bubbles rising in water, while the larger values sink to the bottom (end) of the array. The technique uses nested loops to make several passes through the array. Each pass compares successive overlapping pairs of elements (i.e., elements 0 and 1, 1 and 2, 2 and 3, etc.). If a pair is in increasing order (or the values are equal), the bubble sort leaves the values as they are. If a pair is in decreasing order, the bubble sort swaps their values in the array. The first pass compares the first two elements of the array and swaps them if necessary. It then compares the second and third elements. The end of this pass compares the last two elements in the array and swaps them if necessary. After one pass, the largest element will be in the last position. After two passes, the largest two elements will be in the last two positions. Explain why hubhle sort is an Q (n?) algorithm
18.5 (Bubble Sort) Implement the bubble sort-another simple, yet inefficient, sorting technique. It's called bubble sort or sinking sort because smaller values gradually “bubble" their way to the top of the array (i.e., toward the first element) like air bubbles rising in water, while the larger values sink to the bottom (end) of the array. The technique uses nested loops to make several passes through the array. Each pass compares successive overlapping pairs of elements (i.e., elements 0 and 1, 1 and 2, 2 and 3, etc.). If a pair is in increasing order (or the values are equal), the bubble sort leaves the values as they are. If a pair is in decreasing order, the bubble sort swaps their values in the array. The first pass compares the first two elements of the array and swaps them if necessary. It then compares the second and third elements. The end of this pass compares the last two elements in the array and swaps them if necessary. After one pass, the largest element will be in the last position. After two passes, the largest two elements will be in the last two positions. Explain why hubhle sort is an Q (n?) algorithm
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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