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FIT3155 Advanced data structures and algorithms - S2 2026

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Let  S S be a string of length  n n . Suppose we are in iteration  k k of Z-algorithm when run on  S S and assume k > r_{k-1}k > r_{k-1}. As we are in case 1 we must compute Z[k]Z[k] using explicit comparisons.

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Case 2a of the Z-algorithm handles the scenario where  l\le k\le r l\le k\le r and Z[k-l+1] < r-k+1Z[k-l+1] < r-k+1. This case requires explicit character comparisons to determine Z[k]Z[k] value 

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Let SS be a string of length nn, and, using 1-based indexing, let r_kr_k denote the value of rr at iteration kk of the Z-algorithm when run on SS. Then the sequence (r_1, r_2, \dots, r_n)(r_1, r_2, \dots, r_n) is always non-decreasing, with r_{i-1} \le r_i \quad \forall\, 1 < i \le nr_{i-1} \le r_i \quad \forall\, 1 < i \le n, for any SS.

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Let  S S be a string of length  n n . In 1-based indexing, if  Z[k] > 0 Z[k] > 0 , for 2\le k \le n2\le k \le n then  S[k\dots k+Z[k] - 1] = S[1\dots Z[k]] S[k\dots k+Z[k] - 1] = S[1\dots Z[k]].

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Let  S S be a string of length  n n . Then, using 1-based indexing, do we care about the value stored in  Z[1] Z[1] ?

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The naive algorithm does the fewest number of comparisons when all characters in the pattern and text are the same.

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Let  T T be a text of length  n n and  P P a pattern of length  m m . The naive pattern matching algorithm requires worst case  m m comparisons for each alignment with the text.
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Let  T T be a text of length  n n and  P P a pattern of length  m m . The worst case time complexity of the naive algorithm is  O(n+m) O(n+m) .

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