2. Determine the time and space complexities of a linear search
time complexity: O(n)
space complexity: O(log(n))
time complexity: O(n)
space complexity: O(n)
time complexity: O(log(n))
space complexity: O(n)
time complexity: O(log(n))
space complexity: O(log(n))
3.Which of the following is a true statement?(1 point)
Responses
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 only effort to consider regarding algorithm code is implementation.
The only effort to consider regarding algorithm code is implementation.
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 efficiency of an algorithm measures the amount of resources it needs.
The first statement, "The efficiency of an algorithm measures the amount of resources it needs," is a true statement. The efficiency of an algorithm is typically measured by considering the amount of time and space resources it requires to solve a problem.
The second statement, "The only effort to consider regarding algorithm code is implementation," is false. When evaluating the efficiency of an algorithm, implementation is just one factor to consider. Other factors like time complexity, space complexity, and scalability also play a significant role in determining the overall efficiency of an algorithm.
The third statement, "There are no ways to measure space complexity and time complexity," is false. Space complexity measures the amount of memory an algorithm needs, while time complexity measures the amount of time an algorithm takes to run. Both space and time complexity are fundamental concepts in the analysis of algorithms.
The fourth statement, "Shorter codes always have greater ease of implementation than longer codes," is false. The ease of implementation is not solely determined by the length of the code. It depends on various factors such as code readability, complexity, and the familiarity of the programming language being used.