Given a sorted array of size N and an integer K, find the position at which K is present in the array using binary search. Example 1: Input: N = 5 arr[] = {1 2 3 4 5} K = 4 Output: 3

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A: import java.util.Arrays; public class Test{public static void main(String[] args) {int[] ar =…

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A: I have provided  C++  CODE  along  with  CODE  SCREENSHOT  and  OUTPUT  SCREENSHOT----------------

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A: Define a function jump_search(arr, target) that takes an array (arr) and a target value (target) as…

Q: 23 37 56 74 80 90 112 114 123 129 208 249 266 270 271 Suppose you use binary search to search for…

A: Key = 129 First iteration: low = 0 high = 14 mid = (low + high)/2 = (0 + 14)/2 = 7 arr[mid] = 114…

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A: The binary search algorithm to find the search element is works as follows,

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A: Here is the python code of the above problem. See below steps for code.

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A: Given that: The maximum number of compares to binary search for a key in a sorted array is log2 n…

Q: Actual output codecheck-bjlo-1e-06_03 Expected output a: [ 22 98 46 82 24 ] Expected: [ 22 98 46 82…

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A: Let N be an unordered array of integers. The maximum number of compares required to find the minimum…

Merge sort

Merge Sort recursively sorts a given collection of numbers or elements by using the divide and conquer strategy in less time. It is one of the most used algorithms, with the worst-case time complexity of O (n log n). It was invented by John Von Neumann. The algorithm continuously divides an array into sub-arrays until each sub-array consists of a single element. It then merges those sub-arrays to produce a sorted array.