Examples of using Priority queue in English and their translations into Serbian
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A priority queue is an abstract concept like“a list” or“a map”;
On average, a run will be 100% longer than the capacity of the priority queue.
A priority queue is often considered to be a"container data structure".
There are a variety of simple, usually inefficient,ways to implement a priority queue.
A priority queue is neither FIFO or LIFO but may adopt similar behaviour temporarily or by default.
It improves upon the naive selection sort by using a priority queue to find the next element in the sort.
Efficient selection of the current best candidate for extension is typically implemented using a priority queue.
Another use of a priority queue is to manage the events in a discrete event simulation.
Conceptually, an external file is read and its elements are pushed into the priority queue until the queue is full.
In a priority queue, an element with high priority is served before an element with low priority. .
Even in this case,for each graph there exists some order of breaking ties in the priority queue such that A* examines the fewest possible nodes.
In their algorithm, the priority queue consists only of elements whose parent in the Cartesian tree has already been found and removed.
This sorting method is equivalent to the following sorting algorithms:A sorting algorithm can also be used to implement a priority queue.
The implementation is also useful for use as a Priority queue where use of a dynamic array allows insertion of an unbounded number of items.
Divide and conquer algorithms can also be implemented by a non-recursive program that stores the partial sub-problems in some explicit data structure, such as a stack,queue, or priority queue.
The Standard Template Library(STL), part of the C++ 1998 standard, specifies"priority_queue" as one of the STL container adaptor class templates.
The semantics of priority queues naturally suggest a sorting method:insert all the elements to be sorted into a priority queue, and sequentially remove them;
Just as a list can be implemented with a linked list or an array, a priority queue can be implemented with a heap or a variety of other methods.
In computer science, a priority queue is an abstract data type which is like a regular queue or stack data structure, but where additionally each element has a"priority" associated with it.
The algorithm itself then consists of repeatedly removing the next event from the priority queue, finding the changes the event causes in the beach line, and updating the data structures.
A queap is a priority queue that inserts elements in O(1) amortized time, and removes the minimum element in O(log(k+ 2)) if there are k items that have been in the heap for a longer time than the element to be extracted.
Usually a limitation(policer) is set to limit the bandwidth that traffic from the highest priority queue can take, in order to prevent high priority packets from choking off all other traffic.
A priority queue(also known as the fringe) is used to keep track of unexplored routes; the one for which the estimate(a lower bound in the case of A*) of the total path length is smallest is given highest priority. .
The algorithm maintains as data structures a binary search tree describing the combinatorial structure of the beach line, and a priority queue listing potential future events that could change the beach line structure.
There are also container adaptorsqueue, priority_queue, and stack, that are containers with specific interface, using other containers as implementation.
If memory limitations make best-first search impractical,variants like the SMA* algorithm can be used instead, with a double-ended priority queue to allow removal of low-priority items.
Although this is worse than other priority queue algorithms such as Fibonacci heaps, which perform decrease-key in O( 1){\displaystyle O(1)} amortized time, the performance in practice is excellent.
That is, if there is a sorting algorithm which can sort in O(S) time per key, where S is some function of n and word size,then one can use the given procedure to create a priority queue where pulling the highest-priority element is O(1) time, and inserting new elements(and deleting elements) is O(S) time.
The semantics of priority queues naturally suggest a sorting method:insert all the elements to be sorted into a priority queue, and sequentially remove them; they will come out in sorted order.
The Levcopoulos-Petersson algorithm can be viewed as a version of selection sort orheap sort that maintains a priority queue of candidate minima, and that at each step finds and removes the minimum value in this queue, moving this value to the end of an output sequence.