📅 Day 42 | DSA | Understanding Time Complexity
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Code With Brain on Instagram: "📅 Day 42 | DSA | Time Complexity ⏱ Understanding Time Complexity in DSA 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 Merge Sort, Quick Sort O(N²) Quadratic Time Nested loo
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