How do you solve Richest Customer Wealth on LeetCode?

Richest Customer Wealth (LeetCode #1672) can be solved using Brute Force or Optimal Solution. The optimal approach is Optimal Solution with O(n) time complexity and O(1) space complexity. Key insight: Wealth is calculated by summing up bank accounts for each customer.

What is the brute force solution for Richest Customer Wealth?

The brute force approach for Richest Customer Wealth is Brute Force, with O(n²) time complexity and O(1) space complexity. The brute force approach involves calculating the total wealth for each customer by summing up their bank accounts. We then compare these sums to find the maximum wealth. This method is straightforward but can be inefficient for larger inputs. The optimal Optimal Solution approach improves this to O(n).

What algorithm or data structure is used to solve Richest Customer Wealth?

Richest Customer Wealth uses the following concepts: Array, Matrix. The recommended patterns to study are: Array, Matrix.

What are the interview tips for Richest Customer Wealth?

Always clarify the problem statement and constraints. Think aloud while coding to show your thought process. Consider edge cases and test your solution with them.

What are common mistakes when solving Richest Customer Wealth?

Not considering edge cases like all accounts being the same. Forgetting to reset the maximum wealth for each customer.

#1672

Richest Customer Wealth

Easy

ArrayMatrixArrayMatrix

LeetCode ↗

Approaches

Brute ForceOptimal

Complexity Comparison

	Brute Force	Optimal Solution★
Time	O(n²)	O(n)
Space	O(1)	O(1)

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Intuition

Time O(n)Space O(1)

The optimal solution leverages the same summation logic but focuses on reducing unnecessary calculations. By maintaining a running maximum wealth during the summation process, we can achieve the result in a single pass through the data.

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Algorithm

5 steps

1Step 1: Initialize a variable to keep track of the maximum wealth.
2Step 2: Iterate through each customer in the accounts array.
3Step 3: For each customer, sum their bank accounts and immediately compare to the current maximum wealth.
4Step 4: Update the maximum wealth if the current customer's wealth exceeds it.
5Step 5: Return the maximum wealth after checking all customers.

solution.py2 lines

1def maximumWealth(accounts):
2    return max(map(sum, accounts))

ℹ

Complexity note: The time complexity is O(n) because we only iterate through the accounts once. The space complexity is O(1) since we only use a constant amount of space for the maximum wealth variable.

1Wealth is calculated by summing up bank accounts for each customer.
2The maximum wealth can be found by comparing sums efficiently.

Solutions and explanations are original Tejav content. Problem titles © LeetCode — use the LeetCode button above for the full problem statement.