you can Linked List with two ways â Singly and Doublyâ.
The best way to approach a traversal is through the use of a while() loop »> to check that the Next node in the list is not null. If we reach at the end to( node that is null), a NullReferenceException gets thrown and our program will »> crash/end.
The Big O of time for Includes would be O(n). n »» last node in the linked list
The Big O of space for Includes would be O(1). » because there is no additional space being used than what is already given to us in input.
we are creating a while loop to check and make sure we are not at the end of a linked list. Right before the while loop restarts, we move Current to equal the next node in the list.
Once we hit the end, we write out the null pointed to by the last node (or Head, if itâs empty).
When making your Node class, consider requiring a value to be passed in to require that each node has a value.
in order to get to the end of the list, we have to go through all of the items in the list in order(sequentially)
the opposite of non-linear structures
The fundamental difference between arrays and linked lists is that arrays are static data structures, while linked lists are dynamic data structures.
A node only knows about what data it contains, and who its neighbor is.
Big O is really all over and omnipresent within computer science.
There are two major points to consider when thinking about how an algorithm performs: how much time it requires at runtime given how much time and memory it needs.
One way to think about Big O notation is a way to express the amount of time that a function, action, or algorithm takes to run based on how many elements we pass to that function.