What are the updated values of high and low in the array if the element being searched is greater than the value at calculated index in interpolation search? (pos = current position)

Quiz on linear and binary search iteratives, linear search recursive, jump search, exponential search, uniform binary search and fibonacci search, interpolation and substring searching algorithms. Searching in data structure is the process of finding a specific data element within a collection of data. It is a fundamental operation in computer science and is used in a wide variety of applications, such as databases, search engines, and artificial intelligence. There are many different search algorithms, each with its own strengths and weaknesses. The choice of which algorithm to use depends... Show more

Quiz on linear and binary search iteratives, linear search recursive, jump search, exponential search, uniform binary search and fibonacci search, interpolation and substring searching algorithms.

Searching in data structure is the process of finding a specific data element within a collection of data. It is a fundamental operation in computer science and is used in a wide variety of applications, such as databases, search engines, and artificial intelligence.
There are many different search algorithms, each with its own strengths and weaknesses. The choice of which algorithm to use depends on the specific data structure being searched and the desired performance characteristics.
Some of the most common search algorithms include:
Linear search: This is the simplest search algorithm, and it works by sequentially comparing the search key to each element in the data structure until a match is found. Linear search is easy to implement, but it can be slow for large data structures.
Binary search: This algorithm works by repeatedly dividing the data structure in half and comparing the search key to the middle element. If the search key is equal to the middle element, then the search is successful. Otherwise, the algorithm continues by searching the half of the data structure that contains the search key. Binary search is much faster than linear search for large data structures, but it requires that the data structure be sorted.
Hashing: This algorithm works by converting the search key into a hash value, which is then used to index into a hash table. If the hash value is already in the hash table, then the search is successful. Otherwise, the algorithm inserts the search key into the hash table. Hashing is a very efficient search algorithm for large data structures, but it can be difficult to implement correctly.
Tree search: This algorithm works by traversing a tree data structure, comparing the search key to each node in the tree until a match is found. Tree search is a very versatile search algorithm that can be used to search a variety of data structures, including binary trees, AVL trees, and red-black trees.
The choice of which search algorithm to use depends on the specific data structure being searched and the desired performance characteristics. For example, if the data structure is small and unsorted, then linear search may be the best choice. If the data structure is large and sorted, then binary search may be the best choice. If the data structure is very large and needs to be searched very quickly, then hashing may be the best choice.
Searching is a fundamental operation in computer science, and there are many different search algorithms to choose from. The choice of which algorithm to use depends on the specific data structure being searched and the desired performance characteristics.

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