Consider the following code fragment: static int f(int[ ] arr, int x ) { int start = 0; int end - arr.length -1; int mid; while(start <- end) { mid = start + ((end - start)/2); if(arr[ mid ] < x) { start - mid+1; } else if(arr[ mid ] > x) { end = mid-1; } else { return mid; } } return -1; } Give the worst case big-O cost where the length of the array is N. O O(N^2) O 0(1) O O(2^N) O O(logN) O O(N)
Consider the following code fragment: static int f(int[ ] arr, int x ) { int start = 0; int end - arr.length -1; int mid; while(start <- end) { mid = start + ((end - start)/2); if(arr[ mid ] < x) { start - mid+1; } else if(arr[ mid ] > x) { end = mid-1; } else { return mid; } } return -1; } Give the worst case big-O cost where the length of the array is N. O O(N^2) O 0(1) O O(2^N) O O(logN) O O(N)
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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