How to Solve Find Critical and Pseudo- Critical Edges in Minimum Spanning Tree Leetcode Problem - Interview Coder Guide
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How to Solve Find Critical and Pseudo- Critical Edges in Minimum Spanning Tree Problem

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Hard#1613
LeetCode Problem

Find Critical and Pseudo-Critical Edges in Minimum Spanning Tree

Given a weighted undirected connected graph with n vertices numbered from 0 to n - 1, and an array edges where edges[i] = [ai, bi, weighti] represents a bidirectional and weighted edge between nodes a...

Union FindGraphSorting+2 more

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Problem Breakdown

Understanding the Find Critical and Pseudo- Critical Edges in Minimum Spanning Tree Problem

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Problem Statement

Given a weighted undirected connected graph with n vertices numbered from 0 to n - 1, and an array edges where edges[i] = [ai, bi, weighti] represents a bidirectional and weighted edge between nodes ai and bi. A minimum spanning tree (MST) is a subset of the graph's edges that connects all vertices without cycles and with the minimum possible total edge weight. Find all the critical and pseudo-critical edges in the given graph's minimum spanning tree (MST). An MST edge whose deletion from the graph would cause the MST weight to increase is called a critical edge. On the other hand, a pseudo-critical edge is that which can appear in some MSTs but not all. Note that you can return the indices of the edges in any order.

HardProblem #1613
LeetCode

Find Critical and Pseudo-Critical Edges in Minimum Spanning Tree

Related Topics
Union FindGraphSortingMinimum Spanning TreeStrongly Connected Component
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Examples

Example 1
INPUT
n = 5, edges = [[0,1,1],[1,2,1],[2,3,2],[0,3,2],[0,4,3],[3,4,3],[1,4,6]]
OUTPUT
[[0,1],[2,3,4,5]]
EXPLANATION

The figure above describes the graph. The following figure shows all the possible MSTs: Notice that the two edges 0 and 1 appear in all MSTs, therefore they are critical edges, so we return them in the first list of the output. The edges 2, 3, 4, and 5 are only part of some MSTs, therefore they are considered pseudo-critical edges. We add them to the second list of the output.

Example 2
INPUT
n = 4, edges = [[0,1,1],[1,2,1],[2,3,1],[0,3,1]]
OUTPUT
[[],[0,1,2,3]]
EXPLANATION

We can observe that since all 4 edges have equal weight, choosing any 3 edges from the given 4 will yield an MST. Therefore all 4 edges are pseudo-critical.

Constraints

2 <= n <= 100
1 <= edges.length <= min(200, n * (n - 1) / 2)
edges[i].length == 3
0 <= ai < bi < n
1 <= weighti <= 1000
All pairs (ai, bi) are distinct.

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