COMPUTER SCIENCE AND ENGINEERING
ALGORITHMS
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Big-R
|
|
|
Big-O
|
|
|
Big-N
|
|
|
Big-A
|
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: -When we write Big O notation, we look for the fastest-growing term as the input gets larger and larger. We can simplify the equation by dropping constants and any non-dominant terms. For example, O(2N) becomes O(N), and O(N² + N + 1000) becomes O(N²). Binary Search is O(log N) which is less complex than Linear Search.
Detailed explanation-3: -O(f) notation represents the complexity of an algorithm, which is also termed as an Asymptotic notation or “Big O” notation. Here the f corresponds to the function whose size is the same as that of the input data.