final_soln

# final_soln - MIT OpenCourseWare http/ocw.mit.edu 6.006...

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Unformatted text preview: MIT OpenCourseWare http://ocw.mit.edu 6.006 Introduction to Algorithms Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms . Introduction to Algorithms: 6.006 Massachusetts Institute of Technology May 9, 2008 Professors Srini Devadas and Erik Demaine Handout 13 Final Practice Problems 1 Subset Sum You are given a sequence of n numbers (positive or negative): x 1 , x 2 , . . . , x n Your job is to select a subset of these numbers of maximum total sum, subject to the constraint that you can’t select two elements that are adjacent (that is, if you pick x i then you cannot pick either x i − 1 or x i +1 ). Explain how you can find, in time polynomial in n, the subset of maximum total sum. Solution: Let sum i be the maximum sum of the numbers x 1 , x 2 , . . . , x i given the adjacency constraint. sum = 0 sum 1 = max(0 , x 1 ) sum i = max( sum i − 2 + x i , sum i − 1 ) This last step works because either we include x i , in which case we also want to include the best...
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final_soln - MIT OpenCourseWare http/ocw.mit.edu 6.006...

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