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Dynamic-Programming Strategies for Analyzing Biomolecular Sequences

Dynamic-Programming Strategies for Analyzing Biomolecular Sequences

Dynamic-Programming Strategies for Analyzing Biomolecular Sequences. Dynamic Programming. Dynamic programming is a class of solution methods for solving sequential decision problems with a compositional cost structure. Richard Bellman was one of the principal founders of this approach.

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1.09k views • 89 slides
Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time. C. Seshadhri ( Sandia National Labs) Joint work with Michael Saks ( Rutgers University ).

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604 views • 45 slides
Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time. C. Seshadhri ( Sandia National Labs) Joint work with Michael Saks ( Rutgers University ).

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539 views • 45 slides
Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time. C. Seshadhri ( Sandia National Labs) Joint work with Michael Saks ( Rutgers University ).

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458 views • 45 slides
Dynamic Programming

Dynamic Programming

Dynamic Programming. Kun-Mao Chao ( ??? ) Department of Computer Science and Information Engineering National Taiwan University, Taiwan E-mail: kmchao@csie.ntu.edu.tw WWW: http://www.csie.ntu.edu.tw/~kmchao. Dynamic Programming.

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245 views • 23 slides
Longest Common Subsequence

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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317 views • 21 slides

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