LeetCode | Maximum Running Time of N Computers | C++ | Golang | Rust

In this video, I explain the LeetCode problem 2141. Maximum Running Time of N Computers using a clear intuition-first approach.
We start with the brute force idea and understand why checking every possible running time is too slow. Then I introduce the key observation about battery contribution, explain why each battery can give at most min(b[i], T), and show how this forms a rising-then-flattening curve that guarantees a pivot point.

⏱ Timestamps

00:00 – Problem Statement and Logic
22:28 – C++ Implementation
26:15 – Golang Implementation
30:34 – Rust Implementation

Using this, we derive the binary search solution and implement it in C++ with full reasoning.
This video includes:
✓ Supply energy curve
✓ Why sum(min(b[i], T)) is monotonic
✓ The feasibility check f(T) ≥ N·T
✓ Why a pivot always exists
✓ Complete binary search implementation
✓ Clean C++ solution

Perfect for interview prep, competitive programming, and deepening your algorithmic intuition.

Видео LeetCode | Maximum Running Time of N Computers | C++ | Golang | Rust канала AlgorithmsUntilRED