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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.
Statements: M $ K; K & N, N % R, R @ W
Conclusions:
I. W & K
II. K & W �...
Statement: X > P ≥ W < Z ≤ T < S, P ≥ V
I. P > T
II. X > V
What should come in the place of question mark, in the given expressions to make ‘D > F’ always true?
P > D ≥ I _?_ J = F > M
Statements: N < G ≥ F > E ≥ D, D = O ≥ I > P
Conclusions:
I. D < G
II. N > I
III. P < E
Statement: Z > T ≥ K; Z ≤ S = J; I > T
Conclusion:
I. J > K
II. I > S
Statement: X = Y ≥ Z > Q; Y < V; W < Q
Conclusions: I. V > W II. Q > V
In this question, the relation between various elements is shown in the statement. After the statement, two conclusions are given, select a suitable opt...
Statement: M < N ≤ O = P, Q ≥ O ≤ R ≤ Z
Conclusion: I. Q > M II. Z > M
...In the question, assuming the given statements to be true, find which of the conclusion (s) among given two conclusions is /are definitely true and the...