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What is algorithm analysis?
What is algorithm analysis?
- Using clock-time as a consistent measure of an algorithm's efficiency
- Predicting the resource requirement of algorithms (correct)
- Testing algorithms on different instances
- Measuring the efficiency of algorithms empirically
Why is running time considered a crucial resource in algorithm analysis?
Why is running time considered a crucial resource in algorithm analysis?
- It is easy to measure compared to memory usage
- It is less significant than communication bandwidth
- It is not important when analyzing algorithms
- It is the most precious computational resource in most problem domains (correct)
How do we measure algorithm efficiency theoretically?
How do we measure algorithm efficiency theoretically?
- By determining the quantity of resources required mathematically (correct)
- Using clock-time as a consistent measure
- Measuring communication bandwidth
- Programming competing algorithms and testing them
Which resource is usually considered when analyzing the efficiency of algorithms?
Which resource is usually considered when analyzing the efficiency of algorithms?
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What makes using clock-time inconsistent for measuring algorithm efficiency?
What makes using clock-time inconsistent for measuring algorithm efficiency?
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In algorithm analysis, why is there a need to choose the best algorithm for a problem?
In algorithm analysis, why is there a need to choose the best algorithm for a problem?
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