How to Solve Modify Graph Edge Weights Leetcode Problem - Interview Coder Guide
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How to Solve Modify Graph Edge Weights Problem

Master the Modify Graph Edge Weights LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#2803
LeetCode Problem

Modify Graph Edge Weights

You are given an undirected weighted connected graph containing n nodes labeled from 0 to n - 1, and an integer array edges where edges[i] = [ai, bi, wi] indicates that there is an edge between nodes ...

GraphHeap (Priority Queue)Shortest Path

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Problem Breakdown

Understanding the Modify Graph Edge Weights Problem

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

Problem Statement

You are given an undirected weighted connected graph containing n nodes labeled from 0 to n - 1, and an integer array edges where edges[i] = [ai, bi, wi] indicates that there is an edge between nodes ai and bi with weight wi. Some edges have a weight of -1 (wi = -1), while others have a positive weight (wi > 0). Your task is to modify all edges with a weight of -1 by assigning them positive integer values in the range [1, 2 * 109] so that the shortest distance between the nodes source and destination becomes equal to an integer target. If there are multiple modifications that make the shortest distance between source and destination equal to target, any of them will be considered correct. Return an array containing all edges (even unmodified ones) in any order if it is possible to make the shortest distance from source to destination equal to target, or an empty array if it's impossible. Note: You are not allowed to modify the weights of edges with initial positive weights.

HardProblem #2803
LeetCode

Modify Graph Edge Weights

Related Topics
GraphHeap (Priority Queue)Shortest Path
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Examples

Example 1
INPUT
n = 5, edges = [[4,1,-1],[2,0,-1],[0,3,-1],[4,3,-1]], source = 0, destination = 1, target = 5
OUTPUT
[[4,1,1],[2,0,1],[0,3,3],[4,3,1]]
EXPLANATION

The graph above shows a possible modification to the edges, making the distance from 0 to 1 equal to 5.

Example 2
INPUT
n = 3, edges = [[0,1,-1],[0,2,5]], source = 0, destination = 2, target = 6
OUTPUT
[]
EXPLANATION

The graph above contains the initial edges. It is not possible to make the distance from 0 to 2 equal to 6 by modifying the edge with weight -1. So, an empty array is returned.

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

The graph above shows a modified graph having the shortest distance from 0 to 2 as 6.

Constraints

1 <= n <= 100
1 <= edges.length <= n * (n - 1) / 2
edges[i].length == 3
0 <= ai, bi < n
wi = -1 or 1 <= wi <= 107
ai != bi
0 <= source, destination < n
source != destination
1 <= targ

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