Find the Residual Errors Solution GT Computability Complexity Theory Algorithms
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Course Description
When we analyse an algorithm, we use a notation to represent its time complexity and that notation is Big O notation. For Example: time complexity for Linear search can be represented as O(n) and O(log n) for Binary search (where, n and log(n) are the number of operations) .
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