How to Solve Number of Longest Increasing Subsequence Leetcode Problem - Interview Coder Guide
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How to Solve Number of Longest Increasing Subsequence Problem

Master the Number of Longest Increasing Subsequence LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#673
LeetCode Problem

Number of Longest Increasing Subsequence

Given an integer array nums, return the number of longest increasing subsequences. Notice that the sequence has to be strictly increasing.

ArrayDynamic ProgrammingBinary Indexed Tree+1 more

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Problem Breakdown

Understanding the Number of Longest Increasing Subsequence Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

Given an integer array nums, return the number of longest increasing subsequences. Notice that the sequence has to be strictly increasing.

MediumProblem #673
LeetCode

Number of Longest Increasing Subsequence

Related Topics
ArrayDynamic ProgrammingBinary Indexed TreeSegment Tree
How Interview Coder Helps

Get real-time assistance for Number of Longest Increasing Subsequence problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

Example 1
INPUT
nums = [1,3,5,4,7]
OUTPUT
2
EXPLANATION

The two longest increasing subsequences are [1, 3, 4, 7] and [1, 3, 5, 7].

Example 2
INPUT
nums = [2,2,2,2,2]
OUTPUT
5
EXPLANATION

The length of the longest increasing subsequence is 1, and there are 5 increasing subsequences of length 1, so output 5.

Constraints

1 <= nums.length <= 2000
106 <= nums[i] <= 106
The answer is guaranteed to fit inside a 32-bit integer.

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Frequently Asked Questions

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