Disjoint Set Union (Union Find) - Problem Set

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Q. How does path compression improve the efficiency of the 'Find' operation?
  • A. By reducing the number of elements in the set
  • B. By flattening the structure of the tree
  • C. By increasing the rank of the trees
  • D. By merging all sets into one
Q. If two elements belong to different sets, what will the 'Union' operation do?
  • A. It will do nothing
  • B. It will merge the two sets
  • C. It will return an error
  • D. It will create a new set
Q. If you have n elements and perform m union operations, what is the amortized time complexity of each operation in a Disjoint Set Union with path compression and union by rank?
  • A. O(1)
  • B. O(log n)
  • C. O(n)
  • D. O(α(n))
Q. In a Disjoint Set Union, what is the purpose of union by rank?
  • A. To keep track of the number of elements in each set
  • B. To minimize the height of the trees representing sets
  • C. To ensure all elements are unique
  • D. To sort the elements in each set
Q. What is the initial state of a Disjoint Set Union when n elements are added?
  • A. All elements are in a single set
  • B. All elements are in separate sets
  • C. All elements are sorted
  • D. All elements are merged
Q. What is the main advantage of using path compression in the 'Find' operation?
  • A. It increases the size of the data structure
  • B. It reduces the time complexity of future operations
  • C. It makes the data structure more complex
  • D. It allows for multiple unions at once
Q. What is the result of performing a union operation on two sets A and B in a Disjoint Set Union?
  • A. A and B remain separate
  • B. A and B are merged into one set
  • C. A is deleted
  • D. B is deleted
Q. What is the worst-case time complexity of the 'Union' operation in Disjoint Set Union with union by rank?
  • A. O(n)
  • B. O(log n)
  • C. O(1)
  • D. O(α(n))
Q. Which of the following techniques can be used to optimize the Union operation in Disjoint Set Union?
  • A. Path compression
  • B. Binary search
  • C. Heapification
  • D. Graph traversal
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