Differents types of trying table algorithm

 

Differents types of trying table algorithm

1. Linear Search : This is the simplest and most straightforward search algorithm. It sequentially checks each element of the array for the target value until a match is found.

2. Binary Search : This algorithm is more efficient than linear search as it reduces the number of comparisons needed to find the target value. It works by repeatedly dividing the array in half and comparing the target value to the middle element.

3. Interpolation Search : This algorithm is used when the elements

- Algorithm linear Search of trying table :

Linear search is a method for searching a data structure for a particular value. It sequentially checks each element of the data structure until a match is found or the whole data structure has been searched. Algorithm:

1. Start at the beginning of the data structure.

2. Compare the value at the current position with the value being searched for.

3. If the values match, return the position of the value.

 4. If the values do not

- Linear Search of trying table with c ++ :

#include <iostream>

using namespace std;

int main()

{

int arr[10] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

int key, i;

bool found = false;

cout << "Enter the number to search: ";

cin >> key;

for (i = 0; i < 10;

-         algorithm Binary Search  trying table

Binary search is an algorithm used to search for an element in a sorted array.

 It works by repeatedly dividing the search interval in half until the value is found or the interval is empty.

To use binary search, the array must be sorted.

Example: Given an array of integers [2, 5, 8, 12, 16, 23, 38, 56, 72, 91], Searching for the number 23

 Step 1: Start with the middle element of the array, which is 16.

Step 2: Since 23 is greater than 16, discard the left half of the array and search only in the right half.

 Step 3: The middle element of the right half is 38. Since 23 is less than 38, discard the right half of the array and search only in the left half. Step 4: The middle element of the