The time complexity of skip list operations is O(log n), where n is the number of elements in the skip list.
The time complexity of operations in a doubly linked list is O(1) for insertion and deletion at the beginning or end of the list, and O(n) for insertion and deletion in the middle of the list.
The time complexity of deque operations in data structures is O(1), which means they have constant time complexity.
The time complexity of operations in a hashset data structure is typically O(1) for insertion, deletion, and search operations. This means that these operations have constant time complexity, regardless of the size of the hashset.
The time complexity of multiplication operations is O(n2) in terms of Big O notation.
The time complexity of priority queue operations in Java is O(log n) for insertion and removal of elements.
The time complexity of operations in a doubly linked list is O(1) for insertion and deletion at the beginning or end of the list, and O(n) for insertion and deletion in the middle of the list.
The time complexity of deque operations in data structures is O(1), which means they have constant time complexity.
The time complexity of operations in a hashset data structure is typically O(1) for insertion, deletion, and search operations. This means that these operations have constant time complexity, regardless of the size of the hashset.
The time complexity of multiplication operations is O(n2) in terms of Big O notation.
The time complexity of priority queue operations in Java is O(log n) for insertion and removal of elements.
The time complexity of inserting an element into a linked list is O(1) or constant time.
The time complexity of operations in a B-tree data structure is O(log n), where n is the number of elements in the tree.
The time complexity of regular expressions (regex) operations is typically O(n), where n is the length of the input string being processed.
The time complexity to find an element in a linked list is O(n), where n is the number of elements in the list. This means that the time it takes to find an element in a linked list increases linearly with the number of elements in the list.
The time complexity of operations on a balanced binary search tree, such as insertion, deletion, and search, is O(log n), where n is the number of nodes in the tree. This means that these operations can be performed efficiently and quickly, even as the size of the tree grows.
The time complexity of sorting a list using a comparison-based sorting algorithm with a worst-case time complexity of O(log(n!)) is O(n log n).
The time complexity of finding the maximum element in a list using the Python max function is O(n), where n is the number of elements in the list.