COMPUTER SCIENCE AND ENGINEERING
DATA STRUCTURES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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describes limiting behaviour of the function
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characterises a function based on growth of function
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upper bound on growth rate of the function
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all of the mentioned
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Detailed explanation-1: -Big O Notation is a tool used to describe the time complexity of algorithms. It calculates the time taken to run an algorithm as the input grows. In other words, it calculates the worst-case time complexity of an algorithm. Big O Notation in Data Structure describes the upper bound of an algorithm’s runtime.
Detailed explanation-2: -Big O notation is used to describe the complexity of an algorithm when measuring its efficiency, which in this case means how well the algorithm scales with the size of the dataset.
Detailed explanation-3: -Constant time In other words, T(n) ∊ O(1) means that T(n) is smaller than some fixed constant, whose value isn’t stated, for all large enough values of n. An algorithm with T(n) ∊ O(1) is said to have constant time complexity.