Question
You want to maximize your capital by completing at most k distinct investment projects, starting with initial capital w. You are given two arrays: profits[i] is the pure profit of project i (added to your capital on completion) and capital[i] is the minimum capital required to start project i. You can only run a project if your current capital is at least its required capital, each project at most once, and profits are non-negative. Return the maximum capital after completing at most k projects. There are 1 to 10^5 projects; k, w, profits, and capital are non-negative and fit in 32-bit signed range.
maximized_capital(k: int, w: int, profits: list[int], capital: list[int]) → int[2,0,[1,2,3],[0,1,1]]out4State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.