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Dynamic Programming

Dynamic Programming. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar. To accompany the text ``Introduction to Parallel Computing'', Addison Wesley, 2003 . Topic Overview. Overview of Serial Dynamic Programming Serial Monadic DP Formulations Nonserial Monadic DP Formulations

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Longest Common Subsequence

Longest Common Subsequence. Definition: The longest common subsequence or LCS of two strings S1 and S2 is the longest subsequence common between two strings. S1 : A -- A T -- G G C C -- A T A n=10

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356 views • 21 slides

Lecture 4 Dynamic Programming

Lecture 4 Dynamic Programming. Basic Algorithm Design Techniques. Divide and conquer Dynamic Programming Greedy Common Theme: To solve a large, complicated problem, break it into many smaller sub-problems. Dynamic Programming.

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128 views • 11 slides

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