# What’s Searching in Data Structure?

//

Scott Campbell

What’s Searching in Data Structure?

Searching is a fundamental operation in data structure. It involves finding a specific element or value within a collection of data.

This process is often crucial in various applications, such as finding a particular item in a database or locating an element in an array. In this article, we will explore different searching algorithms and their applications.

## Linear Search

Linear search, also known as sequential search, is the simplest searching algorithm. It starts from the beginning of the data structure and checks each element until it finds the desired value.

The algorithm works as follows:

• Step 1: Start from the first element of the data structure.
• Step 2: Compare the current element with the Target value.
• Step 3: If they match, return the index of the current element.
• Step 4: If they don’t match, move to the next element and repeat steps 2-3 until reaching the end of the data structure.

This algorithm has a time complexity of O(n), where n is the number of elements in the data structure. It is suitable for small collections or unsorted arrays where efficiency is not a major concern.

## Binary Search

If we have a sorted collection, binary search provides a more efficient way to find an element compared to linear search. The algorithm follows these steps:

• Step 1: Start with defining low and high variables to represent the lower and upper bounds of our search range respectively.
• Step 2: Calculate the mid index as the average of low and high.
• Step 3: Compare the value at the mid index with the Target value.
• Step 4: If they match, return the mid index.
• Step 5: If the Target value is greater, update low to mid + 1 and repeat steps 2-5.
• Step 6: If the Target value is smaller, update high to mid – 1 and repeat steps 2-5.

This algorithm has a time complexity of O(log n), making it significantly faster than linear search for large collections. However, it only works on sorted data structures like arrays or lists.

## Hashing

In some cases, we can use hashing to achieve even faster search times. Hashing involves mapping values to unique keys using a hash function. This allows for direct access to elements without needing to iterate through the entire data structure.

The process of searching using hashing can be summarized as follows:

• Step 1: Apply a hash function to compute a key for the Target value.
• Step 2: Use this key to directly access the corresponding element in a hash table or similar data structure.

This approach provides constant-time complexity for searching in most cases. However, it requires additional memory for storing the hash table and may not be suitable for all types of data structures or search requirements.

### In Conclusion

In summary, searching is an essential operation in data structures. Linear search is simple and suitable for small collections, while binary search offers an efficient solution for sorted data structures.

Hashing provides fast access to elements but requires additional memory. By understanding these searching algorithms, you can choose the most appropriate method based on your specific requirements.