Which of the following are the two main measures of algorithm efficiency?

The two main measures of algorithm efficiency are related to how an algorithm performs in terms of resource utilization. Time efficiency refers to the amount of time an algorithm takes to complete its task as a function of the input size, often expressed using Big O notation (e.g., O(n), O(log n)). It helps assess how the algorithm's runtime grows with larger inputs, which is crucial for understanding performance.

Space efficiency, on the other hand, concerns the amount of memory an algorithm uses during its execution, also often described in terms of Big O notation. This measure is essential for applications where memory usage is a concern, ensuring that an algorithm does not consume more resources than available, especially in constrained environments.

Understanding both time and space efficiency provides a comprehensive view of how well an algorithm will perform under different conditions, making them fundamental concepts in analyzing algorithms.