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.
If there was a way, it would be the new insertion sort! Theoretically you could reduce the time by using a linked list and searching to the position it needs to be inserted and inserting it. In practice however you would be better off simply using a different sort, especially if you don't want your data in a linked list. Selection sort is better when writing is expensive. Quicksort and Mergesort are faster on large data sets.
I tried my best to explain all Linked List. For Single Linked List http://www.fansonnote.com/2012/02/single-linked-list/ For Double Linked List http://www.fansonnote.com/2012/02/double-linked-list/ For Multi Linked List http://www.fansonnote.com/2012/02/multi-linked-list/ Hope it will help. Thanks.
A linked list is used in computer science to store data as a series of related nodes. Linked lists are used as the basis for abstract data types when programming. The chief advantage of a linked list is that data can be added or removed from the list without having to reorganize the whole list. A drawback to linked lists can be that it is difficult to sort, organize, or recall specific information from the list.
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.
radix sort
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.
It is easier to insert into a singly linked list.
A list is an abstract data structure, usually defined as an ordered collection of data. A linked list refers to a specific implementation of a list in which each element in the list is connected (linked) to the next element.
Linked list of strings, for example.
It depends on what you intend to do with the data. The assumption is the data is dynamic, the number of elements are not known in advance. Binary trees are best if you want to sort the data as it is entered. Linked lists are best if you simply want a list of sequential data, or need to implement a stack or a queue.
The difference is how many pointers each node has, and what they are pointing to. A linked list is comprised of "Nodes" each node contains data as well as 1 or more pointers. A singly linked list has one pointer per node, and a doubly linked list has 2 pointers per node. Some programs use several pointers per node. The purpose of these pointers is to hold the list together. In a singly linked list, you can view a node and can then move on to the next node that it is pointing to until you've passed through them all. A doubly-linked list would have a pointer to the next node as well as to the previous node. Thus you can move forward and backward through the list. A circularly-linked list doesn't necessarily have a set number of pointers because it simply means that the last node points to the first node creating a big circle. A non-circularly-linked list would not contain this last to first pointer and thus you would eventually reach the end of the list and stop.