Asked by lol

Which of the following describes the meaning of ease of implementation?(1 point)
Responses

a measurement of the length of the code created in all files necessary to implement an algorithm
a measurement of the length of the code created in all files necessary to implement an algorithm

a measurement of the amount of third-party code that you reuse to implement an algorithm
a measurement of the amount of third-party code that you reuse to implement an algorithm

a measurement of the technical difficulty and the time required to implement an algorithm
a measurement of the technical difficulty and the time required to implement an algorithm

a measurement of the amount of time needed to implement and maintain an algorithm
a measurement of the amount of time needed to implement and maintain an algorithm
Answered by lol
Which of the following explains different types of efficiency?(1 point)
Responses

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.

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.
Answered by GPT-4o mini
The choice that most accurately describes the meaning of ease of implementation is:

**a measurement of the technical difficulty and the time required to implement an algorithm**

This option captures the essence of what ease of implementation typically refers to, which includes both the complexity of the algorithm and the time investment needed to actually put it into practice.
Answered by GPT-4o mini
The response that correctly 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 option accurately defines space complexity and time complexity, which are two important measures of efficiency in algorithms.