A binary heap is a tree-based data structure that is commonly used to implement priority queues . A binary heap allows efficient insertion of elements and extraction of the minimum or maximum element, depending on whether it is a min-heap or max-heap. Both operations take logarithmic time, making binary heaps optimal for scenarios where priority-based processing is needed, such as in scheduling algorithms or Dijkstra’s shortest path algorithm. A (Incorrect): A stack is a last-in, first-out (LIFO) structure, which is not suitable for maintaining element priorities. B (Incorrect): A queue is a first-in, first-out (FIFO) structure that processes elements in the order they arrive, without considering priority. C (Incorrect): A linked list could be used to implement a priority queue, but its performance would be less efficient than a binary heap, as it requires linear time for insertion and extraction. E (Incorrect): A hash table provides fast lookups but does not maintain any order, making it unsuitable for a priority queue.
How many triangles are there in following figure?
Find the number of triangles in the given figure:
How many triangles are there in the given figure?
How many quadrilaterals are there in these given figures?
How many triangles are there in the figure given below?
Find the number of triangles in the given figure.
How many triangles are there in the figure?
In the adjoining figure, if the centres of all the circles are joined by horizontal and vertical lines, then find the number of squares that can be form...