There are numerous numbers of searching algorithms that have been developed and used in various fields. Here are some commonly known searching algorithms-
- Linear Search: This algorithm sequentially checks each element in a list until the desired element is found or the end of the list is reached.
- Binary Search: This algorithm is applicable only on a sorted list. It repeatedly divides the search space in half by comparing the target element with the middle element of the list until the element is found or the search space is exhausted.
- Jump Search: This algorithm is similar to a linear search, but it jumps ahead by a fixed interval instead of checking every element. It is effective when the elements are uniformly distributed.
- Interpolation Search: This algorithm is an improvement over binary search for uniformly distributed data. It estimates the position of the target element based on the values of the first and last elements in the list.
- Exponential Search: This algorithm works on sorted lists and exponentially increases the search range until the desired element is found. It then performs a binary search within that range.
- Fibonacci Search: This algorithm is a variant of binary search that divides the search space using the Fibonacci sequence.
- Hashing: Hashing is a technique that maps data elements to a specific index using a hash function. It allows for constant-time retrieval of elements, making it very efficient for searching.
These are just a few examples of searching algorithms. There are many more algorithms and variations depending on the specific requirements and characteristics of the data being searched.
The number of such algorithms can vary depending on the context and specific requirements. It is difficult to provide an exact count without specifying a particular set of searching algorithms. However, it’s worth noting that the ones listed earlier are some of the most commonly known and widely used searching algorithms.
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