In an array-based list implementation, the addition of new elements requires linear time complexity in the worst case. True or False?

For the operation below, provide the worst case running time in terms of n (Big O notation). Briefly justify your answer >>> Using binary search in a sorted singly linked list (as you completed in LAB 4). The implementation for __len__ traverses the list to count each node

Given a singly linked list of integers, reverse the nodes of the linked list 'k' at a time and return its modified list. 'k' is a positive integer and is less than or equal to the length of the linked list. If the number of nodes is not a multiple of 'k,' then left-out nodes, in the end, should be reversed as well.Example :Given this linked list: 1 -> 2 -> 3 -> 4 -> 5 For k = 2, you should return: 2 -> 1 -> 4 -> 3 -> 5 For k = 3, you should return: 3 -> 2 -> 1 -> 5 -> 4 Note :No need to print the list, it has already been taken care. Only return the new head to the list. Input format :The first line contains an Integer 't' which denotes the number of test cases or queries to be run. Then the test cases follow. The first line of each test case or query contains the elements of the singly linked list separated by a single space. The second line of input contains a single integer depicting the value of 'k'. Remember/Consider :While specifying the list…

can I have the solution for this question in Java coding please? Write an algorithm for the following to swap two adjacent elements by adjusting only the links (and not the data) using: Singly-linked lists. Doubly linked lists.