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How to Solve Count of Sub-Multisets With Bounded Sum Problem
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LeetCode ProblemCount of Sub-Multisets With Bounded Sum
You are given a 0-indexed array nums of non-negative integers, and two integers l and r. Return the count of sub-multisets within nums where the sum of elements in each subset falls within the inclusive range of [l, r]. Since the answer may be large, return it modulo 109 + 7. A sub-multiset is an unordered collection of elements of the array in which a given value x can occur 0, 1, ..., occ[x] times, where occ[x] is the number of occurrences of x in the array. Note that:
ArrayHash TableDynamic ProgrammingSliding Window
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Problem Breakdown
Understanding the Count of Sub-Multisets With Bounded Sum Problem
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Problem Statement
You are given a 0-indexed array nums of non-negative integers, and two integers l and r. Return the count of sub-multisets within nums where the sum of elements in each subset falls within the inclusive range of [l, r]. Since the answer may be large, return it modulo 109 + 7. A sub-multiset is an unordered collection of elements of the array in which a given value x can occur 0, 1, ..., occ[x] times, where occ[x] is the number of occurrences of x in the array. Note that:
HardProblem #2902
LeetCodeCount of Sub-Multisets With Bounded Sum
Related Topics
ArrayHash TableDynamic ProgrammingSliding Window
How Phantom Code Helps
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Examples
# Example 1
Input
nums = [1,2,2,3], l = 6, r = 6
Output
1
# Example 2
Input
nums = [2,1,4,2,7], l = 1, r = 5
Output
7
# Example 3
Input
nums = [1,2,1,3,5,2], l = 3, r = 5
Output
9
Constraints
1 <= nums.length <= 2 * 104
0 <= nums[i] <= 2 * 104
Sum of nums does not exceed 2 * 104.
0 <= l <= r <= 2 * 104
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Solve Count of Sub-Multisets With Bounded Sum — You are given a 0-indexed array nums of non-negative integers, and two integers ...
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Frequently Asked Questions
Common questions about solving Count of Sub-Multisets With Bounded Sum and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Count of Sub-Multisets With Bounded Sum during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Count of Sub-Multisets With Bounded Sum?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
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Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Count of Sub-Multisets With Bounded Sum type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Count of Sub-Multisets With Bounded Sum interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
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How does Phantom Code help when I'm struggling with Count of Sub-Multisets With Bounded Sum style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Count of Sub-Multisets With Bounded Sum interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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