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In binary search, the key to be searched is compared with the element in the __________ of a sorted list.
  • a)
    End
  • b)
    Front
  • c)
    Middle
  • d)
    None of these
Correct answer is option 'C'. Can you explain this answer?
Most Upvoted Answer
In binary search, the key to be searched is compared with the element ...
Concept:
The binary search algorithm is used to find a specific element in a sorted array. The target value is compared to the array's middle element in a binary search.
Key Points
  • Sequential search is substantially less efficient than binary search. The elements must, however, be presorted before using the binary search method.
  • It works by dividing the area of the list that could contain the item in half until the number of possible sites is reduced to just one.
  • Binary search is an efficient algorithm and is better than linear search in terms of time complexity.
  • Because it splits the array into two half as part of the process, it's called binary. A binary search will initially compare the item in the middle of the array to the search terms.
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Community Answer
In binary search, the key to be searched is compared with the element ...
Understanding Binary Search
Binary search is a highly efficient algorithm used to find an element in a sorted list. The key concept behind it is to systematically narrow down the search space.
Key Elements of Binary Search
- Sorted List Requirement:
- Binary search operates only on a sorted list. This is crucial as it relies on the order of elements to eliminate half of the search space with each comparison.
- Middle Element Comparison:
- The algorithm begins by comparing the target key with the middle element of the list.
- This is the pivotal step that determines the next course of action.
How the Comparison Works
- Three Possible Outcomes:
- If the middle element equals the key, the search is complete.
- If the key is less than the middle element, the search continues in the left half of the list.
- If the key is greater, the search continues in the right half.
- Recursive or Iterative Approach:
- Binary search can be implemented using recursion or iteration, both effectively reducing the search space by half with each step.
Conclusion
The choice of the middle element as the comparison point in binary search is what makes it logarithmically efficient, with a time complexity of O(log n). This is a significant improvement over linear search methods, especially for large datasets. Thus, the correct answer to the question is option 'C', as the key is compared with the element in the middle of a sorted list.
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