List algorithms for selection operation
1. Linear search algorithm: This algorithm sequentially checks each element in a list until the desired value is found or the end of the list is reached.
2. Binary search algorithm: This algorithm is used for a sorted list. It repeatedly divides the list in half and compares the middle element with the desired value, narrowing down the search range each time.
3. Interpolation search algorithm: This algorithm is similar to binary search but uses a formula to estimate the position of the desired value.
4. Hashing algorithm: This algorithm uses a hash function to map each value in the list to a specific index in an array. Retrieving a value involves computing the hash value and accessing the corresponding array index.
5. Heapsort algorithm: This algorithm uses a binary heap data structure to progressively select the minimum (or maximum) value from the list and place it in the sorted portion of the list.
6. Quickselect algorithm: This algorithm is a variation of quicksort that only sorts a portion of the list. It partitions the list based on a chosen pivot and recursively selects values from either the left or right partition until the desired rank is reached.
7. Counting sort algorithm: This algorithm counts the number of occurrences of each value in the list, and then uses this count information to determine the final sorted order.
8. Radix sort algorithm: This algorithm sorts the list based on individual digits or groups of digits. It repeatedly passes through the list, distributing values into separate buckets based on a specific digit position.
9. Smoothsort algorithm: This algorithm is an advanced sorting algorithm that uses a combination of heap operations and a smooth heap data structure to perform the selection operation efficiently.