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A non-blocking linked list is an example of non-blocking data structures designed to implement a linked list in shared memory using synchronization primitives: Compare-and-swap; Fetch-and-add; Load-link/store-conditional; Several strategies for implementing non-blocking lists have been suggested.
Traversal of a singly linked list is simple, beginning at the first node and following each next link until reaching the end: node := list.firstNode while node not null (do something with node.data) node := node.next The following code inserts a node after an existing node in a singly linked list. The diagram shows how it works.
A linked list is a collection of structures ordered not by their physical placement in memory but by logical links that are stored as part of the data in the structure itself. It is not necessary that it should be stored in the adjacent memory locations. Every structure has a data field and an address field.
The list starts out with a single node, the sentinel node which has the next and previous pointers point to itself. This condition determines if the list is empty. In a non-empty list, the sentinel node's next pointer gives the head of the list, and the previous pointer gives the tail of the list.
This image is a derivative work of the following images: File:Singly_linked_list_insert_after.png licensed with PD-user-en, PD-user-w 2007-09-15T13:42:02Z German 400x115 (2351 Bytes) {{Information |Description=Diagram of inserting a node into a singly linked list, for [[en:linked list]] article. Made and granted into the public domain by [[en ...
Another example is a similar singly linked type in Java: class List < E > { E value ; List < E > next ; } This indicates that non-empty list of type E contains a data member of type E, and a reference to another List object for the rest of the list (or a null reference to indicate that this is the end of the list).
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Linked list. A doubly linked list has O(1) insertion and deletion at both ends, so it is a natural choice for queues. A regular singly linked list only has efficient insertion and deletion at one end. However, a small modification—keeping a pointer to the last node in addition to the first one—will enable it to implement an efficient queue.