Search Technique

Searching  refers to the process of finding a particular element within a collection of data. This collection could be an array, a linked list, a tree, a graph, or any other data structure.

There are various searching algorithms designed to efficiently locate elements within different types of data structures. Here are a few common searching algorithms:

Linear Search: Involves iterating through each element in the collection until the desired element is found or the end of the collection is reached. It's simple but not very efficient, especially for large collections.

Binary Search: Applicable only to sorted arrays, this algorithm repeatedly divides the search interval in half until the desired element is found. It's much faster than linear search for large sorted arrays, with a time complexity of O(log n).

Hashing: Involves converting the search key into a hash value using a hash function. The hash value is then used to index a hash table where the corresponding element is stored. Hashing provides constant time complexity O(1) for search operations on average, but it depends on the quality of the hash function and the load factor of the hash table.