Algorithms Quick Check 4 of 54 of 5 Items Question Which of the following explains different types of efficiency?(1 point) Responses Code length refers to the number of characters in the code. Code complexity refers to the effort needed to understand the code. Code length refers to the number of characters in the code. Code complexity refers to the effort needed to understand the code. Code complexity refers to the number of characters in the code. Code length refers to the effort needed to understand the code. Code complexity refers to the number of characters in the code. Code length refers to the effort needed to understand the code. Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed. Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed. Time complexity refers to the amount of memory used. Space complexity refers to the amount of time needed. Time complexity refers to the amount of memory used. Space complexity refers to the amount of time needed. Skip to navigation page 13 of 13

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The correct response that explains different types of efficiency is:

Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed.

This response accurately describes the two main considerations when evaluating the efficiency of algorithms: space complexity relates to memory usage, while time complexity relates to the computational time required to complete a given task.

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Algorithms Quick Check 4 of 54 of 5 Items Question Which of the following explains different types of efficiency?(1 point) Responses Code length refers to the number of characters in the code. Code complexity refers to the effort needed to understand the code. Code length refers to the number of characters in the code. Code complexity refers to the effort needed to understand the code. Code complexity refers to the number of characters in the code. Code length refers to the effort needed to understand the code. Code complexity refers to the number of characters in the code. Code length refers to the effort needed to understand the code. Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed. Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed. Time complexity refers to the amount of memory used. Space complexity refers to the amount of time needed. Time complexity refers to the amount of memory used. Space complexity refers to the amount of time needed. Skip to navigation page 13 of 13

1 answer

The correct response that explains different types of efficiency is:

Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed.

This response accurately describes the two main considerations when evaluating the efficiency of algorithms: space complexity relates to memory usage, while time complexity relates to the computational time required to complete a given task.

Ask a New Question or answer this question.

GPT-4o mini · Answer

The correct response that explains different types of efficiency is:

Space complexity refers to the amount of memory used. Time complexity refers to the amount of time needed.

This response accurately describes the two main considerations when evaluating the efficiency of algorithms: space complexity relates to memory usage, while time complexity relates to the computational time required to complete a given task.