Are you ready to put your coding skills to the test? Introducing the Big O Notation Quiz, where you'll navigate the treacherous terrain of algorithmic complexity! Strap on your thinking cap and get ready for a thrilling adventure through the land of efficiency. This interactive quiz will challenge your understanding of time and space complexity, as you conquer mind-boggling questions that require you to analyze code snippets and determine their Big O notation. Will you emerge as the Big O champion, or will you get tangled up in the complexities? Join us now and find out! It's time to flex your coding muscles and embark on this exciting quest.
O(n)
O(n^2)
O(2n)
O(nlogn)
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O(n)
O(2n)
O(logn)
O(nlogn)
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O(n)
O(n^2)
O(nlogn)
O(logn)
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O(n)
O(2n)
O(logn)
O(n^2)
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O(logn)
O(1)
O(n^2)
O(2^n)
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O(n)
O(n^2)
O(2^n)
O(1)
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O(n)
O(n^2)
O(logn)
O(2^n)
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O(n)
O(n^2)
O(logn)
O(nlogn)
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O(n)
O(2^n)
O(logn)
O(nlogn)
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O(n)
O(n^2)
O(n!)
O(2^n)
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O(n^2)
O(n)
O(logn)
O(nlogn)
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O(n)
O(logn)
O(1)
O(false)
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O(n)
O(2^n)
O(logn)
O(nlogn)
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O(n)
O(n^2)
O(2+nlogn)
O(nlogn)
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O(n)
O(n^2)
O(2^n)
O(logn)
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O(n)
O(n^2)
O(2^n)
O(logn)
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O(n^const(const=2,3…) )
O(n^2)
O(2n)
O(2^n)
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O(n)
O(2^n)
O(logn)
O(nlogn)
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O(n)
O(n^2)
O(logn)
O(1)
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O(n)
O(n^2)
O(n^1.25)
O(n^2.25)
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O(n^2)
O(n log n)
O(n)
O(log n)
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