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How to Solve Maximum Profit from Trading Stocks with Discounts Problem

Master the Maximum Profit from Trading Stocks with Discounts LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#3562

LeetCode Problem

Maximum Profit from Trading Stocks with Discounts

You are given an integer n, representing the number of employees in a company. Each employee is assigned a unique ID from 1 to n, and employee 1 is the CEO. You are given two 1-based integer arrays, present and future, each of length n, where: The company's hierarchy is represented by a 2D integer array hierarchy, where hierarchy[i] = [ui, vi] means that employee ui is the direct boss of employee vi. Additionally, you have an integer budget representing the total funds available for investment. However, the company has a discount policy: if an employee's direct boss purchases their own stock, then the employee can buy their stock at half the original price (floor(present[v] / 2)). Return the maximum profit that can be achieved without exceeding the given budget.

ArrayDynamic ProgrammingTreeDepth-First Search

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Problem Breakdown

Understanding the Maximum Profit from Trading Stocks with Discounts Problem

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

Problem Statement

HardProblem #3562

LeetCode

Maximum Profit from Trading Stocks with Discounts

How Phantom Code Helps

Get real-time assistance for Maximum Profit from Trading Stocks with Discounts problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input

n = 2, present = [1,2], future = [4,3], hierarchy = [[1,2]], budget = 3

Output

# Example 2

Input

n = 2, present = [3,4], future = [5,8], hierarchy = [[1,2]], budget = 4

Output

# Example 3

Input

n = 3, present = [4,6,8], future = [7,9,11], hierarchy = [[1,2],[1,3]], budget = 10

Output

# Example 4

Input

n = 3, present = [5,2,3], future = [8,5,6], hierarchy = [[1,2],[2,3]], budget = 7

Output

Constraints

1 <= n <= 160

present.length, future.length == n

1 <= present[i], future[i] <= 50

hierarchy.length == n - 1

hierarchy[i] == [ui, vi]

1 <= ui, vi <= n

ui != vi

1 <= budget <= 160

There are no duplicate edges.

Employee 1 is the direct or indirect boss of every employee.

The input graph hierarchy is guaranteed to have no cycles.

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Solve Maximum Profit from Trading Stocks with Discounts — You are given an integer n, representing the number of employees in a company. E...

Here's the optimal approach using Array:

def solve(input):

# Optimal O(n) solution

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Time: O(n) | Space: O(n)

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Frequently Asked Questions

Common questions about solving Maximum Profit from Trading Stocks with Discounts and using Phantom Code during coding interviews.

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