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What is Time Complexity in the context of algorithms?
What is Time Complexity in the context of algorithms?
- A function describing the amount of time required to run an algorithm in terms of the size of the input (correct)
- A function describing the amount of space required to run an algorithm in terms of the size of the input
- The amount of memory an algorithm takes in terms of the size of the input
- A measure of the number of steps an algorithm takes to complete as a function of the input size
What is Space Complexity in the context of algorithms?
What is Space Complexity in the context of algorithms?
- A function describing the amount of memory an algorithm takes in terms of the size of the input (correct)
- The amount of time required to run an algorithm in terms of the size of the input
- A measure of the number of steps an algorithm takes to complete as a function of the input size
- A function describing the amount of space required to run an algorithm in terms of the size of the input
What does the Time Complexity of an algorithm indicate?
What does the Time Complexity of an algorithm indicate?
- The number of steps the algorithm takes to complete
- The amount of memory the algorithm requires
- The amount of time required for the algorithm to run based on input size (correct)
- The time it takes for the algorithm to execute a specific task
What does the Space Complexity of an algorithm indicate?
What does the Space Complexity of an algorithm indicate?
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In comparing two algorithms, if Algorithm A has a smaller RAM requirement but longer execution time compared to Algorithm B, what can be inferred?
In comparing two algorithms, if Algorithm A has a smaller RAM requirement but longer execution time compared to Algorithm B, what can be inferred?
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