Search results
Results from the WOW.Com Content Network
This image or media file may be available on the Wikimedia Commons as File:Python 3.3.2 reference document.pdf, where categories and captions may be viewed. While the license of this file may be compliant with the Wikimedia Commons, an editor has requested that the local copy be kept too.
In computer science, peek is an operation on certain abstract data types, specifically sequential collections such as stacks and queues, which returns the value of the top ("front") of the collection without removing the element from the collection. It thus returns the same value as operations such as "pop" or "dequeue", but does not modify the ...
One example where a deque can be used is the work stealing algorithm. [9] This algorithm implements task scheduling for several processors. A separate deque with threads to be executed is maintained for each processor. To execute the next thread, the processor gets the first element from the deque (using the "remove first element" deque operation).
Other operations may also be allowed, often including a peek or front operation that returns the value of the next element to be dequeued without dequeuing it. The operations of a queue make it a first-in-first-out (FIFO) data structure. In a FIFO data structure, the first element added to the queue will be the first one to be removed.
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
In computer science, the word dequeue can be used as: A verb meaning "to remove from a queue " An abbreviation for double-ended queue (more commonly, deque )
OPEC+ faces a major oil oversupply in 2025, challenging production increases. The coalition has tried to boost oil prices by holding back output. Instead, members are ceding control to non-OPEC ...
A van Emde Boas tree supports the minimum, maximum, insert, delete, search, extract-min, extract-max, predecessor and successor] operations in O(log log C) time, but has a space cost for small queues of about O(2 m/2), where m is the number of bits in the priority value. [3] The space can be reduced significantly with hashing.