Which of the following is a true statement?(1 point)%0D%0AResponses%0D%0A%0D%0AShorter codes always have greater ease of implementation than longer codes.%0D%0AShorter codes always have greater ease of implementation than longer codes.%0D%0A%0D%0AThe efficiency of an algorithm measures the amount of resources it needs.%0D%0AThe efficiency of an algorithm measures the amount of resources it needs.%0D%0A%0D%0AThere are no ways to measure space complexity and time complexity.%0D%0AThere are no ways to measure space complexity and time complexity.%0D%0A%0D%0AThe only effort to consider regarding algorithm code is implementation.
The efficiency of an algorithm measures the amount of resources it needs.
The following statement is a true statement:
"The efficiency of an algorithm measures the amount of resources it needs."
This statement accurately describes the concept of algorithm efficiency, which is a measure of how well an algorithm utilizes resources such as time, space, or computational power.
The correct statement among the options provided is:
"The efficiency of an algorithm measures the amount of resources it needs."
To get to this answer, let's look at each option and evaluate them one by one:
1. "Shorter codes always have greater ease of implementation than longer codes." - This statement is not necessarily true. While shorter codes can sometimes be easier to implement, the ease of implementation depends on various factors such as code readability, complexity, and the programmer's familiarity with the language and problem domain. It cannot be generalized that shorter codes always have greater ease of implementation than longer codes.
2. "The efficiency of an algorithm measures the amount of resources it needs." - This statement is true. Efficiency in algorithm analysis refers to the amount of resources (such as time and space) required by an algorithm to solve a problem. The efficiency can be measured using time complexity and space complexity, which quantify the algorithm's time and space requirements, respectively.
3. "There are no ways to measure space complexity and time complexity." - This statement is false. Space complexity and time complexity are fundamental concepts in algorithm analysis. They measure the amount of memory space and time required by an algorithm, respectively. These complexities help in evaluating and comparing different algorithms and making informed decisions about their efficiency.
4. "The only effort to consider regarding algorithm code is implementation." - This statement is incorrect. While implementation effort is important, there are other factors to consider when evaluating an algorithm, such as its efficiency, correctness, scalability, maintainability, and readability. Implementation is just one aspect of algorithm development and should not be the sole focus when considering the overall quality and performance of an algorithm.
Therefore, the correct statement is "The efficiency of an algorithm measures the amount of resources it needs."