Which of the following is a true statement?(1 point) Responses There are no ways to measure space complexity and time complexity. There are no ways to measure space complexity and time complexity. Shorter codes always have greater ease of implementation than longer codes. Shorter codes always have greater ease of implementation than longer codes. The only effort to consider regarding algorithm code is implementation. The only effort to consider regarding algorithm code is implementation. The efficiency of an algorithm measures the amount of resources it needs.
The efficiency of an algorithm measures the amount of resources it needs.
The efficiency of an algorithm measures the amount of resources it needs.
The correct answer is: The efficiency of an algorithm measures the amount of resources it needs.
To determine the correct statement, we need to understand the concepts mentioned in the answer choices and then analyze each statement.
1. "There are no ways to measure space complexity and time complexity." - This statement is not true. Space complexity and time complexity are two important measures used to analyze algorithms. Space complexity measures the amount of memory an algorithm requires to run, while time complexity measures the amount of time an algorithm takes to run. There are well-defined methods and notations (such as Big O notation) to measure and compare these complexities.
2. "Shorter codes always have greater ease of implementation than longer codes." - This statement is not necessarily true. The length of the code alone does not determine the ease of implementation. Other factors, such as code readability, maintainability, and algorithm design, also play a significant role. Sometimes, shorter code can be more complex and difficult to understand.
3. "The only effort to consider regarding algorithm code is implementation." - This statement is not true. While implementation is an important aspect of algorithm code, there are other considerations as well. These include algorithm design, time and space complexity, efficiency, correctness, and maintainability. All these factors contribute to the effectiveness of an algorithm.
4. "The efficiency of an algorithm measures the amount of resources it needs." - This statement is true. The efficiency of an algorithm refers to how well it utilizes resources, such as time and space. An efficient algorithm is one that achieves its goal while minimizing the required resources. Evaluating and improving algorithm efficiency is a fundamental aspect of algorithm analysis and design.
Therefore, the correct statement is that the efficiency of an algorithm measures the amount of resources it needs.