To insert an element in a linked list, you need a pointer to the new element, and a pointer to the target element. Set new.next = target.next, and then set target.next = new. This will insert new after target. To insert before target, you need the pointer to the element brfore target, and you can find that by searching from top until you find an element where element.next == target. To insert at top, a special case, you set new.next = top, and then set top = new.
theory part to how u can insert element at middle of link list ?
This is called sorting.
The time complexity of the Count Sort algorithm is O(n k), where n is the number of elements in the list and k is the range of the integers in the list.
I am telling you the algorithm of inserting an element at any location of simply link list:-insert_loc(start,item,loc)step1. [Check for overflow]if ptr=NULLthen print overflowexitelse[ptr=(node*) malloc (size of nodes)] {memory allocation}step2. set ptr->info=itemstep3. set i=1set temp=startstep4. Repeat step 5&6 until inextstep6. set i=i+1step7. set ptr->next=temp->nextstep8. set temp->next=ptrGood luckRjames007
Insert newNode into a linked list after targetNode Node currentNode = root while currentNode != targetNode currentNode = currentNode.next newNode.next = currentNode.next currentNode.next = newNode
Stock sorting algorithm is a algorithm which is used to sort any kind of stock i.e. any data type containing the primitive values like array ,link list ,stack etc.
Stock sorting algorithm is a algorithm which is used to sort any kind of stock i.e. any data type containing the primitive values like array ,link list ,stack etc.
The "Periodic Table of the Elements". See related link below.
The best case scenario for the bubble sort algorithm is when the list is already sorted. In this case, the time complexity is O(n), where n is the number of elements in the list.
The purpose of the randomized select algorithm is to efficiently find the kth smallest element in an unsorted list. It works by randomly selecting a pivot element, partitioning the list around that pivot, and recursively narrowing down the search space until the kth element is found. This algorithm is useful for selecting specific elements in a data structure without having to sort the entire list.
what is algorithm and its use there and analyze an algorithm
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).