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If you have a sorted array of 1000 elements, how many iterations will binary sea

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Question: If you have a sorted array of 1000 elements, how many iterations will binary search take to find an element?

Options:

  1. 10
  2. 9
  3. 8
  4. 7

Correct Answer: 9

Solution:

Binary search will take log2(1000) which is approximately 9.97, so it will take at most 10 iterations.

If you have a sorted array of 1000 elements, how many iterations will binary sea

Practice Questions

Q1
If you have a sorted array of 1000 elements, how many iterations will binary search take to find an element?
  1. 10
  2. 9
  3. 8
  4. 7

Questions & Step-by-Step Solutions

If you have a sorted array of 1000 elements, how many iterations will binary search take to find an element?
  • Step 1: Understand that binary search is a method used to find an element in a sorted array.
  • Step 2: Know that binary search works by repeatedly dividing the search interval in half.
  • Step 3: Start with the entire array of 1000 elements.
  • Step 4: In each iteration, check the middle element of the current search interval.
  • Step 5: If the middle element is the target, you found it! If not, decide whether to search the left half or the right half based on whether the target is smaller or larger than the middle element.
  • Step 6: Repeat this process, halving the search interval each time, until you find the element or the interval is empty.
  • Step 7: Calculate the maximum number of iterations needed using the formula log2(n), where n is the number of elements (1000 in this case).
  • Step 8: Calculate log2(1000) which is approximately 9.97.
  • Step 9: Since you can't have a fraction of an iteration, round up to the nearest whole number, which is 10.
  • Step 10: Conclude that binary search will take at most 10 iterations to find an element in a sorted array of 1000 elements.
  • Binary Search – A search algorithm that finds the position of a target value within a sorted array by repeatedly dividing the search interval in half.
  • Logarithmic Complexity – The time complexity of binary search is O(log n), which indicates that the number of iterations grows logarithmically with the size of the array.
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