Searching Algorithms

1What is Searching?✨

Searching is the process of finding a specific item in a collection of data. In programming, efficient searching is crucial for performance, especially with large datasets.

2Why Learn Searching Algorithms?🎯

• ✓ Understand how to find data efficiently
• ✓ Essential for coding interviews and real-world applications
• ✓ Forms the foundation for more complex algorithms
• ✓ Enhances your problem-solving skills

3Linear Search💡

Linear search is the simplest searching algorithm. It checks each element in a list until it finds the target or reaches the end.

4Example of Linear Search in C:🚀

#include <stdio.h>

int linearSearch(int arr[], int size, int target) {
    for (int i = 0; i < size; i++) {
        if (arr[i] == target) return i;
    }
    return -1; // Not found
}

5Binary Search🔍

Binary search is much faster than linear search but requires the array to be sorted. It works by repeatedly dividing the search interval in half.

6Example of Binary Search in C:⭐

#include <stdio.h>

int binarySearch(int arr[], int size, int target) {
    int left = 0, right = size - 1;
    while (left <= right) {
        int mid = left + (right - left) / 2;
        if (arr[mid] == target) return mid;
        if (arr[mid] < target) left = mid + 1;
        else right = mid - 1;
    }
    return -1; // Not found
}

7When to Use Each Algorithm🧩

• Use linear search for small or unsorted datasets.
• Use binary search for large, sorted datasets to save time.
• Analyze the trade-offs of each method based on data characteristics.

8What You'll Build This Grade🎈

• ✓ Implement searching algorithms in projects
• ✓ Compare performance of linear and binary search
• ✓ Create a user interface to allow users to search data
• ✓ Combine searching with other data structures for advanced applications