How to Solve Maximum Spending After Buying Items Problem
Master the Maximum Spending After Buying Items LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
Interview Coder generates complete solutions and debugging hints that you can use while explaining your approach, so you stay calm and in control.
Maximum Spending After Buying Items
You are given a 0-indexed m * n integer matrix values, representing the values of m * n different items in m different shops. Each shop has n items where the jth item in the ith shop has a value of va...
Interview Coder will help you solve this problem in real-time during your interview
✨ Get instant solutions, explanations, and code generation
Understanding the Maximum Spending After Buying Items Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given a 0-indexed m * n integer matrix values, representing the values of m * n different items in m different shops. Each shop has n items where the jth item in the ith shop has a value of values[i][j]. Additionally, the items in the ith shop are sorted in non-increasing order of value. That is, values[i][j] >= values[i][j + 1] for all 0 <= j < n - 1. On each day, you would like to buy a single item from one of the shops. Specifically, On the dth day you can: Pick any shop i. Buy the rightmost available item j for the price of values[i][j] * d. That is, find the greatest index j such that item j was never bought before, and buy it for the price of values[i][j] * d. Note that all items are pairwise different. For example, if you have bought item 0 from shop 1, you can still buy item 0 from any other shop. Return the maximum amount of money that can be spent on buying all m * n products.
Maximum Spending After Buying Items
Related Topics
How Interview Coder Helps
Get real-time assistance for Maximum Spending After Buying Items problems during coding interviews. Interview Coder provides instant solutions and explanations.
Examples
values = [[8,5,2],[6,4,1],[9,7,3]]285On the first day, we buy product 2 from shop 1 for a price of values[1][2] * 1 = 1. On the second day, we buy product 2 from shop 0 for a price of values[0][2] * 2 = 4. On the third day, we buy product 2 from shop 2 for a price of values[2][2] * 3 = 9. On the fourth day, we buy product 1 from shop 1 for a price of values[1][1] * 4 = 16. On the fifth day, we buy product 1 from shop 0 for a price of values[0][1] * 5 = 25. On the sixth day, we buy product 0 from shop 1 for a price of values[1][0] * 6 = 36. On the seventh day, we buy product 1 from shop 2 for a price of values[2][1] * 7 = 49. On the eighth day, we buy product 0 from shop 0 for a price of values[0][0] * 8 = 64. On the ninth day, we buy product 0 from shop 2 for a price of values[2][0] * 9 = 81. Hence, our total spending is equal to 285. It can be shown that 285 is the maximum amount of money that can be spent buying all m * n products.
values = [[10,8,6,4,2],[9,7,5,3,2]]386On the first day, we bu
Constraints
How Interview Coder Helps with Leetcode Problems
Trust anchors reduce friction for conversion. Reinforce undetectability claims, platform compatibility, user counts, and the free trial to remove perceived risk.
See Interview Coder in Action
Watch how Interview Coder helps solve LeetCode problems during live interviews
Undetectability Checklist
Platform Compatibility
User results and traction
More than 87,000 developers use Interview Coder and early launch metrics showed rapid adoption. Social proof signals that this approach helps real candidates land offers across a range of companies.
Undetectability and technical details
Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible during live interviews.
Platform compatibility and limitations
We work with Zoom, HackerRank, CodeSignal, CoderPad and other web based platforms, with a known list of app version caveats. Check the compatibility note and request a browser link if a specific desktop app is unsupported.
Frequently Asked Questions
Common questions about solving Maximum Spending After Buying Items and using Interview Coder during coding interviews.
Interview Coder 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.
Ready to Get Started?
Download Interview Coder now and join thousands of developers who have aced their coding interviews