Determine the time and space complexities of a linear search.(1 point)

Question

Responses

time complexity: O(n)

space complexity: O(n)
time complexity: upper O left parenthesis n right parenthesis space complexity: upper O left parenthesis n right parenthesis

time complexity: O(log(n))

space complexity: O(n)
time complexity: upper O left parenthesis log left parenthesis n right parenthesis right parenthesis space complexity: upper O left parenthesis n right parenthesis

time complexity: O(log(n))

space complexity: O(log(n))
time complexity: upper O left parenthesis log left parenthesis n right parenthesis right parenthesis space complexity: upper O left parenthesis log left parenthesis n right parenthesis right parenthesis

time complexity: O(n)

space

Answer 1

The correct time and space complexities of a linear search are:

• Time Complexity: O(n)
• Space Complexity: O(1)

Explanation:

1. Time Complexity (O(n)):

   • In a linear search, you iterate through all the elements of a list to find a target value. In the worst case, you may have to check every element, which results in a time complexity of O(n), where n is the number of elements in the list.

2. Space Complexity (O(1)):

   • The space complexity is considered O(1) because a linear search does not require any additional space that grows with the input size. It uses a constant amount of memory regardless of the input size (just a few variables for indexing and storing the target).

Therefore, the first option you provided is correct:

• time complexity: O(n)
• space complexity: O(1)

(Note: O(1) was not listed in your response options, but it's the correct space complexity for a linear search.)