The main operations on singly linked list are:
1:-Insertion
2:-Deletion
3:-Searching
4:-Display
Insertion can be done in done ways:
1)Insertion at beginning
2)Insertion at end
3)Inserting at a specified position
Deletion can be performed in 3 ways:
1)Deletion from beginning
2)Deletion from end
3)Deletion from a specified position.
The Josephus problem is a problem to locate the place for the last survivour. It shows the power of the circular linked list over the singly linked lists.
You copy a singly linked list into a doubly linked list by iterating over the singly linked list and, for each element, calling the doubly linked list insert function.
Well, in a singly linked list you can only move forward, if the pointer you seek is behind your current position you'll have to cross the hole list to get there. In a doubly linked list you can simply move back as well as forward.... hope this helps...
Traversing a doubly linked list is generally faster than traversing a singly linked list, but the speedup depends on how you do the traversal:Traversing from first to last node: No difference.Random access: Doubly linked list is faster, the difference is a fixed factor. (Like twice as fast. Which makes it still very slow for random access compared to arrays.)Reverse order: Doubly linked list is just as fast traversing "backwards" as "forwards", while a singly linked list traversing in reverse order needs to traverse the entire list once for every element in the list - it is a LOT slower. (Time complexity O(n) for doubly linked list, O(n*n) for singly linked, if you are familiar with the notation.)If you are talking about the computer science "big O notation", doubly linked and singly liked lists are the same. This is because the Big O notation ignores fixed factors and only looks at how time increases with the length of the list, and in this respect the two are the same. (Except for the special case of traversing the list in reverse order. Even here a singly linked list could do it in O(n) time - same as a doubly linked list - by reversing the list (O(n)) before traversing it (O(n)) for a total time of 2*O(n), which by the rules of Big O is the same as O(n).)
All lists are linked lists; there is no such thing as a separate "sorted list". There are algorithms that can sort a list, of course, but they all work on linked lists.
The Josephus problem is a problem to locate the place for the last survivour. It shows the power of the circular linked list over the singly linked lists.
Doubly linked lists require more memory than singly linked lists because each node in a doubly-linked list requires two pointers whereas each node in a singly-linked list only requires one pointer. In terms of operation, doubly-linked lists are only useful if you need bi-directional traversal of the the list. If you only need mono-directional traversal, a singly-linked list is more efficient. However, linked lists of either sort do not perform well when random access is essential. In this case a vector or an array will provide constant time access to any element, and memory consumption is further reduced since there is no longer a need for pointers. However, dynamic expansion of an array can be costly in terms of memory consumption and performance. In cases where random access and scalability are required, one or the other must be compromised.
You copy a singly linked list into a doubly linked list by iterating over the singly linked list and, for each element, calling the doubly linked list insert function.
Well, in a singly linked list you can only move forward, if the pointer you seek is behind your current position you'll have to cross the hole list to get there. In a doubly linked list you can simply move back as well as forward.... hope this helps...
It's not that one is better than the other. They are used in different circumstances. A linear linked list is used like an array, with the added benefits of random insertion/removal of elements, etc. A circular linked list is often used as a buffer where one portion of the program produces data and another consumes it, such as in communications.
This is a searching question.
It is easier to insert into a singly linked list.
singly linked list stores only the address of next node while doubly linked list stores the address of previous node and next node and hence it is called doubly linked list. In singly linked list only forward traversing is possible while in doubly linked list forward and backward traversal is possible.
Common operations on a singly linked list include insertion (at the beginning, end, or specific position), deletion (from the beginning, end, or specific position), traversal (visiting each node in the list), searching (finding a specific value), and updating (modifying the value of a node).
A singly linked list is a linked list which only provides links in "one direction". Using a metaphor, a singly linked list is a one way street, while a doubly linked list is a two way street. Once you move forward in a singly linked list, there is no way to go backwards unless you kept your reference/pointer from before. A singly linked list would look like this: start ----> node1---->node2---->node3 ----> NULL You will see that node2 only has a link forward to node3 - it does not have a link backwards to node1, even though node1 has a link forwards to node2. To prevent us from permanently losing access to portions of the linked list, we generally keep a reference/pointer to "start". A doubly linked list would have twice the number of pointers/references as a singly linked list - making it very inefficient to store small datatypes. On the other hand, it would be possible to move both forwards and backwards with a doubly linked list because you have links pointing both forwards and backwards.
In linked list, there are various operations in linked list that you can perform on linked list, eg: adding new elements, deleting elements, getting the first element, getting the next element after an element, any many others.
All lists are linked lists; there is no such thing as a separate "sorted list". There are algorithms that can sort a list, of course, but they all work on linked lists.