Given a sequence S=(x 0 ,x 1 , . . . ,x n1 ) of numbers, describe
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Given a sequence S=(x0,x1, . . . ,xn−1) of numbers, describe an O(n2)-time algorithm for finding a longest subsequence T = (xi0,xi1, . . . ,xik−1) of numbers, such that ij < ij+1 and xij > xij+1. That is, T is a longest decreasing subsequence of S.
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Related Book For
Data Structures and Algorithms in Java
ISBN: 978-1118771334
6th edition
Authors: Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
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