Searching Algorithms: Binary Search - Complexity Analysis - Case Studies

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Q. If an array contains 32 elements, how many iterations will binary search take in the worst case?
  • A. 4
  • B. 5
  • C. 6
  • D. 7
Q. In which scenario would binary search not be applicable?
  • A. Searching in a sorted array
  • B. Searching in a linked list
  • C. Searching in a sorted linked list
  • D. Searching in a sorted array with duplicates
Q. What is the primary advantage of binary search over linear search?
  • A. It is easier to implement
  • B. It works on unsorted arrays
  • C. It has a better time complexity
  • D. It requires less memory
Q. What is the time complexity of binary search in the average case?
  • A. O(1)
  • B. O(log n)
  • C. O(n)
  • D. O(n log n)
Q. What is the time complexity of binary search in the best case scenario?
  • A. O(1)
  • B. O(log n)
  • C. O(n)
  • D. O(n log n)
Q. What is the time complexity of binary search in the worst case scenario?
  • A. O(1)
  • B. O(log n)
  • C. O(n)
  • D. O(n log n)
Q. Which of the following is a key characteristic of binary search?
  • A. It can find the first occurrence of an element
  • B. It can find the last occurrence of an element
  • C. It requires a sorted array
  • D. It can work on any data structure
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