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Questions and Answers
What are the fundamentals of algorithm analysis?
What are the fundamentals of algorithm analysis?
Fundamentals of algorithm analysis include space and time complexity of an algorithm, types of asymptotic notations and orders of growth, and algorithm efficiency in best case, worst case, and average case scenarios.
Explain the concept of space and time complexity of an algorithm.
Explain the concept of space and time complexity of an algorithm.
Space complexity refers to the amount of memory space required by an algorithm to solve a problem, while time complexity measures the amount of time an algorithm takes to solve a problem as a function of the size of the input.
What is the difference between non-recursive and recursive algorithms in terms of analysis?
What is the difference between non-recursive and recursive algorithms in terms of analysis?
Non-recursive algorithms do not call themselves, while recursive algorithms call themselves. Analysis of non-recursive algorithms focuses on iteration and looping, while recursive algorithms require analyzing the recursive calls and stack usage.
