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Longest Bitonic Subsequence

Explore how to identify the longest bitonic subsequence in an array of positive integers by applying dynamic programming patterns. Understand the naive recursive approach and improve it using top-down memoization and bottom-up tabulation methods to efficiently solve the problem with reduced time and space complexity.

Statement

Suppose you are given an array, nums, containing positive integers. You need to find the length of the longest bitonic subsequence in this array. A bitonic subsequence can be of the following three types:

  • It can consist of numbers that are first increasing and then decreasing. For example, (2,6,9,3,2)(2, 6, 9, 3, 2).

  • It can consist of numbers that are only increasing (where the decreasing part at the end is empty). For example, (2,3,7,9)(2, 3, 7, 9).

  • It can consist of numbers that are only decreasing (where the increasing part at the start is empty). For example, (15,12,5,3,2,1)(15, 12, 5, 3, 2, 1).

Let’s say you have the following array:

  • [19,20,5,3,13][19, 20, 5, 3, 13]

The longest bitonic subsequence from this array is (19,20,5,3)(19, 20, 5, 3), and the length of this subsequence is 44.

Constraints:

  • 11\leq nums.length 4×103\leq 4\times10^3
  • 11\leq nums[i]
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