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A non-empty string is called a minimal unique substring of s if and only if it satisfies:
(i) α occurs exactly once in s (uniqueness),
(ii) all proper prefixes of occur at least twice in s (mimimality), and
(iii) α > l for some constant l.
Give an optimal algorithm to enumerate all minimal unique substrings of s.
How do you get the complexity of an algorithm? What is the relation b/w the time & space complexities of an algorithm? Justify your answer with an example.
The ATM will simulate a real world automated teller machine that supports safe access to accounts from multiple concurrent clients.
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