Скачать или смотреть Efficient Techniques to Remove Duplicate Values/Nodes from a Linked List | Delete duplicate Nodes

Delete duplicate Nodes from Linked List data structure: This operation involves removing nodes that have duplicate values, keeping only the first occurrence.

In this code, we traverse the linked list once, and for each node, we check if its value is in the HashSet. If it's not, we add it to the HashSet and move on to the next node. If it is, we remove the node from the list by setting the Next reference of the previous node to the node after the current one.

Please note that this approach modifies the original linked list. If you do not want to modify the original list, you would need to create a new list and copy over only the unique elements.

Yes, a HashSet is a data structure. It is specifically designed to efficiently store and manage a collection of unique elements. The underlying data structure used by a HashSet is a hash table.

A hash table is a data structure that uses a hash function to map keys to array indices, allowing for efficient retrieval, insertion, and deletion of elements. In the case of a HashSet, the elements themselves serve as both keys and values.

When you add an element to a HashSet, its hash code is computed using the GetHashCode method of the element's type. This hash code is then used to determine the index in the underlying array where the element will be stored. In case of hash code collisions (i.e., different elements having the same hash code), the HashSet uses additional mechanisms, such as chaining or open addressing, to handle these collisions and ensure the uniqueness of elements.

The use of a hash table as the underlying data structure allows the HashSet to provide efficient performance for common operations like adding, removing, and checking for the presence of elements. The time complexity for these operations is generally O(1) on average, making HashSet suitable for scenarios where you need to store and work with a collection of unique elements.


#CodeWithCougar
Please Subscribe to Code With Cougar:
   / @code-with-cougar