Skip List in Datastructure | Explaned in Telugu

Skip List A Skip List is a probabilistic data structure that allows fast search, insertion, and deletion operations in O(log n) average time, similar to a balanced binary search tree, but much simpler to implement. It is essentially a multi-level linked list with the following features: 1. Structure: Level 0: The base sorted linked list containing all elements. Higher levels: Contain express lanes or shortcuts to skip multiple elements at once. Each node may appear in multiple levels (decided probabilistically, e.g., coin toss). The topmost level usually has very few nodes, making searches faster. 2. Operations: a) Search: Start from the top-left node. Move right while the next key is less than the target. If the next key is greater, move down one level. Repeat until reaching level 0. If key matches → found, else → not found. b) Insertion: Search the position for the new key at level 0. Insert the node. Randomly decide how many higher levels the node should occupy. Update forward pointers at all levels. c) Deletion: Search for the node. Remove it from all levels where it exists. 3. Advantages: Simple to implement compared to balanced BST. Average O(log n) search, insert, delete. Good cache performance (sequential memory access in lists).