Home /
Expert Answers /
Computer Science /
4-longest-increasing-subsequence-in-this-exercise-we-39-ll-practice-designing-and-analyzing-dynam-pa641
(Solved):
4. [Longest Increasing Subsequence.] In this exercise we'll practice designing and analyzing dynam ...
4. [Longest Increasing Subsequence.] In this exercise we'll practice designing and analyzing dynamic programming algorithms. Let \( A \) be an array of length \( n \) con taining real numbers. A longest increasing subsequence (LIS) of \( A \) is a sequence \( 0 \leq i_{0}
a) If D[i] is treated as the length of the longest increasing subsequence of [A[0], . . . , A[i]] that ends on A[i]. We need to explain why D[i] = max k {D[k] + 1 : 0 ? k < i, A[k] < A[i]}. Let us handle this step by step. ---------------------------