World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.
Brute Force Approach to Pattern Matching
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Destrezas que aprenderás
Suffix Tree, Suffix Array, Knuth–Morris–Pratt (KMP) Algorithm, Algorithms On Strings
Revisiones
NR
Oct 19, 2019
Very well put together course. Challenging but understandable. I highly recommend you stick out. If you get stuck check the forums there's lots of helpful things there. Time well spent!
HC
May 07, 2018
Excelentes algoritmos, nunca había pensado lo complicado que era hacer pattern matching eficientemente en términos de tiempo de procesamiento y memoria.
De la lección
Suffix Trees
How would you search for a longest repeat in a string in LINEAR time? In 1973, Peter Weiner came up with a surprising solution that was based on suffix trees, the key data structure in pattern matching. Computer scientists were so impressed with his algorithm that they called it the Algorithm of the Year. In this lesson, we will explore some key ideas for pattern matching that will - through a series of trials and errors - bring us to suffix trees.
Impartido por:
Alexander S. Kulikov
Visiting Professor
Michael Levin
Lecturer
Pavel Pevzner
Professor
Neil Rhodes
Adjunct Faculty
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