binary-search-Data-Structures-Algorithms-for-Beginners
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Illustration of Binary Search Algorithm in Data Structures with C code and step-by-step logic flow
Introduction
Binary search is one of the most efficient and widely-used searching algorithms in computer science. Its efficiency lies in its ability to divide the search space in half with each iteration, making it incredibly fast compared to linear search. In this article, we’ll delve into the concept of the binary search algorithm, how it works, its implementation in C, and its practical use cases.
Binary search is a technique for finding a specific element in a sorted array. It compares the target value to the middle element of the array and decides which half of the array to continue searching in, based on whether the target is smaller or larger than the middle element. This process repeats until the element is found or the search space is empty.
#include<stdio.h>
#include<conio.h>
void main() {
int x[10] = {2, 4, 5, 6, 7, 8, 9, 18, 30, 68};
int lb = 0, ub = 9, mid, sno;
clrscr();
printf("\nEnter the number to search: ");
scanf("%d", &sno);
while (lb <= ub) {
mid = (lb + ub) / 2;
if (x[mid] == sno) {
printf("Element found at position = %d", mid + 1);
return;
}
if (sno < x[mid]) {
ub = mid - 1;
} else {
lb = mid + 1;
}
}
printf("\nElement not found");
getch();
}
x[10]
containing 10 elements.lb
and ub
) accordingly.Binary search is a foundational algorithm in computer science, providing a fast and efficient way to search through ordered data. With its simple implementation and wide-ranging applications, it remains an essential tool for developers and data scientists. From locating a letter in the alphabet to optimizing database queries, binary search continues to play a pivotal role in solving real-world problems.
If you’re looking to improve your programming skills, mastering the binary search algorithm is a great place to start!
Optimize Your Learning
By doing so, you'll gain a comprehensive understanding of one of the most efficient searching techniques in data structures.