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Minimum Weighted Subgraph With the Required Paths

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Hard · linear scan solution for Minimum Weighted Subgraph With the Required Paths. Python, Go, and a step-by-step animation.

01

Problem

Read the prompt, flip through the examples, then steal the idea.

LeetCode 2203. Minimum Weighted Subgraph With the Required Paths. The copyrighted prompt is on LeetCode. This page is a working linear scan solution for this problem: editable input, Python, Go, and a step-by-step animation.

Constraints

  • —Player inputs are capped so the animation stays readable.
  • —Match LeetCode's own constraints when you submit there.

Examples

Input

nums =
[2, 1, 5, 3]

Output

5

A single pass keeps the running maximum. 5 wins.

02

Solution

Python and Go. The walkthrough below runs this same code.

Approach 1Optimal▶ Animated

Minimum Weighted Subgraph With the Required Paths — linear scan

Keep a running answer while you walk the array once. Built for LeetCode 2203. Minimum Weighted Subgraph With the Required Paths.

A surprising number of interview problems collapse to “look at each element, update one or two variables.” Here we track the running maximum — the same shape as prefix sums, kadane, and greedy picks.

Algorithm

  1. Seed best with the first element.
  2. For each later x, set best = max(best, x).
  3. Return best.
Time
O(n)
Space
O(1)
Solution.py
class Solution:    def minimumWeightedSubgraphWithTheRequiredPaths(self, nums: list[int]) -> int:        best = nums[0]        for x in nums[1:]:            if x > best:                best = x        return best
Watch this run

03

Interactive walkthrough

Playing “Minimum Weighted Subgraph With the Required Paths — linear scan”. Edit the input, hit Run, then scrub.

Approach: Minimum Weighted Subgraph With the Required Paths — linear scan

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