- AA tree-based data structure
- BA list-based data structure
- CA graph-based data structure
- DNone of the above
Heap - Quiz
- ABinary heap
- BFibonacci heap
- CQuad heap
- DBinomial heap
- AO(n)
- BO(log n)
- CO(n log n)
- DO(1)
- AComplete binary tree
- BHeap property
- CParent nodes are greater than child nodes
- DAll leaf nodes are at the same level
- AO(n)
- BO(log n)
- C O(n log n)
- DO(1)
- A Priority queues
- BSorting algorithms
- CDijkstra's algorithm
- DDepth-first search
- ABinary heap
- BFibonacci heap
- CBinomial heap
- D Pairing heap
- AMax-heapify
- BMin-heapify
- CHeapify
- DBuild-heap
- A O(n)
- BO(log n)
- CO(n log n)
- DO(1)
- AEfficient for insert and delete operations
- BEfficient for finding the minimum or maximum element
- CAdditional space required for storage
- DLimited number of operations
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Heap - Quiz
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- A. A tree-based data structure
- B. A list-based data structure
- C. A graph-based data structure
- D. None of the above
Remarks:
Explanation:
Answer: a) A tree-based data structure
Explanation: A heap is a tree-based data structure that satisfies the heap property, which is either the min-heap property or the max-heap property.
- A. Binary heap
- B. Fibonacci heap
- C. Quad heap
- D. Binomial heap
Remarks:
Explanation:
Answer: c) Quad heap
Explanation: Quad heap is not a type of heap in data structure.
- A. O(n)
- B. O(log n)
- C. O(n log n)
- D. O(1)
Remarks:
Explanation:
Answer: b) O(log n)
Explanation: The time complexity of inserting an element into a binary heap of n elements is O(log n).
- A. Complete binary tree
- B. Heap property
- C. Parent nodes are greater than child nodes
- D. All leaf nodes are at the same level
Remarks:
Explanation:
Answer: c) Parent nodes are greater than child nodes
Explanation: A binary heap can either satisfy the min-heap property or the max-heap property. For a min-heap, the parent nodes are smaller than or equal to the child nodes, while for a max-heap, the parent nodes are greater than or equal to the child nodes.
- A. O(n)
- B. O(log n)
- C. O(n log n)
- D. O(1)
Remarks:
Explanation:
Answer: b) O(log n)
Explanation: The time complexity of deleting the minimum element from a binary heap of n elements is O(log n).
- A. Priority queues
- B. Sorting algorithms
- C. Dijkstra's algorithm
- D. Depth-first search
Remarks:
Explanation:
Answer: d) Depth-first search
Explanation: A heap is not commonly used in depth-first search algorithms.
- A. Binary heap
- B. Fibonacci heap
- C. Binomial heap
- D. Pairing heap
Remarks:
Explanation:
Answer: b) Fibonacci heap
Explanation: Fibonacci heap has faster amortized time complexity for insert and delete operations compared to other types of heaps.- A. Max-heapify
- B. Min-heapify
- C. Heapify
- D. Build-heap
Remarks:
Explanation:
Answer: d) Build-heap
Explanation: The build-heap operation is used to convert an array into a binary heap.
- A. O(n)
- B. O(log n)
- C. O(n log n)
- D. O(1)
Remarks:
Explanation:
Answer: d) O(1)
Explanation: The time complexity of finding the minimum element in a binary heap of n elements is O(1).
- A. Efficient for insert and delete operations
- B. Efficient for finding the minimum or maximum element
- C. Additional space required for storage
- D. Limited number of operations
Remarks:
Explanation:
Answer: c) Additional space required for storage
Explanation: A heap requires additional space for storing the tree structure, which can be a disadvantage in situations where memory usage is a concern.