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Problem: Number of Longest Increasing Subsequence

med
30 min
Explore how to solve the problem of counting the longest strictly increasing subsequences within an integer array. This lesson teaches you to apply dynamic programming concepts to efficiently develop solutions for complex subsequence problems. You'll understand the key constraints and practice implementing your solution in an interactive coding environment.

Statement

Given an integer array nums, return the number of longest strictly increasing subsequences it contains.

A subsequence is formed by choosing elements from the array while keeping their original order, and it is considered strictly increasing if every next element is greater than the previous one.

Constraints:

  • 11 \le nums.length 2000\leq 2000

  • 106-10^{6} \leq nums[i] 106\leq 10^{6}

  • The result is guaranteed to fit in a 32-bit integer.

Tap here to switch tabs
Problem
Ask
Submissions

Problem: Number of Longest Increasing Subsequence

med
30 min
Explore how to solve the problem of counting the longest strictly increasing subsequences within an integer array. This lesson teaches you to apply dynamic programming concepts to efficiently develop solutions for complex subsequence problems. You'll understand the key constraints and practice implementing your solution in an interactive coding environment.

Statement

Given an integer array nums, return the number of longest strictly increasing subsequences it contains.

A subsequence is formed by choosing elements from the array while keeping their original order, and it is considered strictly increasing if every next element is greater than the previous one.

Constraints:

  • 11 \le nums.length 2000\leq 2000

  • 106-10^{6} \leq nums[i] 106\leq 10^{6}

  • The result is guaranteed to fit in a 32-bit integer.