📅 Day 42 | DSA | Understanding Time Complexity
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📅 Day 42 | DSA | Understanding Time Complexity
Time Complexity defines how the running time of an algorithm increases with the input size. It helps us measure the efficiency of code. --- 🔍 Common Time Complexities: Notation Description Example O(1) Constant Time Accessing an array index O(log N) Logarithmic Time Binary Search O(N) Linear Time Linear Search O(N log N) Linearithmic Time ...
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