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After implementing this substring search tool using the TrieST class, you should have noticed that this isn't a particularly efficient way to go about solving the problem: there's a lot of wasted space in the data structure, and a lot of wasted calculation in the search step. - Please describe the approach you've used. What is the run time in terms of the size of S, and in terms of the length of each q? I recommend testing (doing experiments!) with some large strings, for confirmation. - What approaches could you take to improve on this clever idea? ANSWER:
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Autumn Semester 2017 Data Structures: Homework IV - Suffix Trie
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