In Pattern Matching Convolutions: O(n log m) using FFT b0 b1 b2

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Presentation transcript:

In Pattern Matching Convolutions: O(n log m) using FFT b0 b1 b2

Problem: O(n log m) only in algebraically closed fields, e.g. C. Solution: Reduce problem to (Boolean/integer/real) multiplication. S This reduction costs! Example: Hamming distance. A B A B C A B B B A Counting mismatches is equivalent to Counting matches

Example: 1 0 1 1 0 1 1 0 1 Count all “hits” of 1 in pattern and 1 in text.

For Define: 1 if a=b 0 o/w Example:

For Do: + + Result: The number of times a in pattern matches a in text + the number of times b in pattern matches b in text + the number of times c in pattern matches c in text.