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C++'s Standard Template Library provides the class templates std::deque and std::list, for the multiple array and linked list implementations, respectively. As of Java 6, Java's Collections Framework provides a new Deque interface that provides the functionality of insertion and removal at both ends. It is implemented by classes such as ...
Slow lookup and access (linear time), but once a position has been found, quick insertion and deletion (constant time). It has slightly more efficient insertion and deletion, and uses less memory than a doubly linked list, but can only be iterated forwards. It is implemented in the C++ standard library as forward_list. deque (double-ended queue)
deque implements a double-ended queue with comparatively fast random access. list implements a doubly linked list. forward_list implements a singly linked list. Since each of the containers needs to be able to copy its elements in order to function properly, the type of the elements must fulfill CopyConstructible and Assignable requirements. [2]
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. A deque implemented using a modified dynamic array
Linked lists are among the simplest and most common data structures. They can be used to implement several other common abstract data types, including lists, stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement those data structures directly without using a linked list as the basis.
Linked list implementations, especially one of a circular, doubly-linked list, can be simplified remarkably using a sentinel node to demarcate the beginning and end of the list. 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.
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.
The first and last nodes of a doubly linked list for all practical applications are immediately accessible (i.e., accessible without traversal, and usually called head and tail) and therefore allow traversal of the list from the beginning or end of the list, respectively: e.g., traversing the list from beginning to end, or from end to beginning, in a search of the list for a node with specific ...