Why Bridges in Graph Tarjan's Algorithm in DSA Typescript?

The Big Idea

What if one small road closure could split your whole city in two? Let's find those roads fast!

The Scenario

Imagine you have a city map with roads connecting different neighborhoods. You want to find roads that, if closed, would split the city into disconnected parts. Doing this by checking every road manually would be like walking every street and guessing which ones are critical.

The Problem

Manually checking each road to see if it disconnects the city is slow and confusing. You might miss some roads or waste time checking roads that don't matter. It's easy to make mistakes and hard to keep track of all connections.

The Solution

Tarjan's algorithm helps find these critical roads, called bridges, quickly and correctly. It uses a smart way to explore the city map once, tracking how neighborhoods connect, so it spots exactly which roads are bridges without extra work.

Before vs After

✗ Before

for each road in roads:
  remove road
  check if city is disconnected
  restore road

✓ After

function findBridges(graph) {
  // use Tarjan's algorithm to find bridges in one DFS
}

What It Enables

This lets you quickly find all critical connections in a network, helping prevent failures or plan repairs efficiently.

Real Life Example

Network engineers use this to find cables or connections in the internet that, if broken, would isolate parts of the network, so they can strengthen or monitor those points.

Key Takeaways

Manual checking of bridges is slow and error-prone.

Tarjan's algorithm finds all bridges efficiently in one pass.

Knowing bridges helps keep networks and systems reliable.

Practice

1. What is the main purpose of Tarjan's algorithm when finding bridges in a graph?

easy

A. To sort nodes in topological order

B. To find the shortest path between two nodes

C. To detect cycles in a graph

D. To find edges that, if removed, increase the number of connected components

Solution

1. Step 1: Understand what a bridge is in a graph

   A bridge is an edge that, when removed, increases the number of connected components in the graph.

2. Step 2: Identify Tarjan's algorithm goal

   Tarjan's algorithm is used to find such edges efficiently by using DFS and tracking discovery and low times.

3. Final Answer:

   To find edges that, if removed, increase the number of connected components -> Option D

4. Quick Check:

   Bridges = edges increasing components when removed [OK]

Hint: Bridges disconnect graph if removed [OK]

Common Mistakes:

• Confusing bridges with cycles
• Thinking it finds shortest paths
• Mixing with topological sorting

2. Which of the following is the correct TypeScript syntax to declare the discovery time array for Tarjan's algorithm?

easy

A. let disc = Array(n).fill('undefined');

B. let disc: number = new Array(n);

C. let disc: number[] = new Array(n).fill(-1);

D. let disc: number[] = new Array(n);

Solution

1. Step 1: Understand array declaration with initial values in TypeScript

   To create an array of numbers with size n and initialize all values to -1, use new Array(n).fill(-1).

2. Step 2: Check type correctness

   TypeScript syntax requires disc to be number[] for an array of numbers.

3. Final Answer:

   let disc: number[] = new Array(n).fill(-1); -> Option C

4. Quick Check:

   Array<number> with fill(-1) = correct initialization [OK]

Hint: Use new Array(n).fill(-1) for initialized arrays [OK]

Common Mistakes:

• Using wrong type annotation
• Not initializing array values
• Filling with string instead of number

3. Consider the following TypeScript code snippet using Tarjan's algorithm to find bridges. What will be the output bridges for the given graph?

const graph = [[1, 2], [0, 2], [0, 1, 3], [2, 4], [3]];
// Edges: 0-1, 0-2, 1-2, 2-3, 3-4
// Find bridges
const bridges = findBridges(graph);
console.log(bridges);

medium

A. [[2, 3], [3, 4]]

B. [[0, 1], [1, 2]]

C. [[0, 2], [2, 3]]

D. []

Solution

1. Step 1: Analyze the graph edges and connectivity

   The graph edges are 0-1, 0-2, 1-2 forming a triangle, and 2-3, 3-4 forming a chain. The triangle edges are not bridges because removing one does not disconnect the graph.

2. Step 2: Identify bridges

   Edges 2-3 and 3-4 are bridges because removing either disconnects node 4 or node 3 from the rest.

3. Final Answer:

   [[2, 3], [3, 4]] -> Option A

4. Quick Check:

   Bridges disconnect graph = [[2,3],[3,4]] [OK]

Hint: Bridges are edges not in any cycle [OK]

Common Mistakes:

• Including edges inside cycles as bridges
• Missing chain edges as bridges
• Confusing node indices

4. The following TypeScript function attempts to find bridges using Tarjan's algorithm but has a bug. What is the bug?

function dfs(u: number, parent: number) {
  visited[u] = true;
  disc[u] = low[u] = time++;
  for (const v of graph[u]) {
    if (!visited[v]) {
      dfs(v, u);
      low[u] = Math.min(low[u], low[v]);
      if (low[v] > disc[u]) {
        bridges.push([u, v]);
      }
    } else if (v !== parent) {
      low[u] = Math.min(low[u], disc[v]);
    }
  }
}

medium

A. The condition 'low[v] > disc[u]' should be 'low[v] >= disc[u]'

B. The 'visited' array is not initialized before DFS

C. The 'time' variable is not incremented correctly

D. The parent node check 'v !== parent' is missing

Solution

1. Step 1: Check initialization of visited array

   The code uses 'visited[u]' but does not show initialization. Without initializing, visited may be undefined causing runtime errors.

2. Step 2: Verify other parts

   The condition 'low[v] > disc[u]' is correct for bridges. The parent check is present. The time increment is correct.

3. Final Answer:

   The 'visited' array is not initialized before DFS -> Option B

4. Quick Check:

   Uninitialized visited array causes errors [OK]

Hint: Always initialize visited before DFS [OK]

Common Mistakes:

• Changing correct bridge condition
• Ignoring visited initialization
• Removing parent check

5. Given a connected undirected graph with nodes 0 to 5 and edges: 0-1, 1-2, 2-0, 1-3, 3-4, 4-5, 5-3, which edges are bridges according to Tarjan's algorithm?

hard

A. [[1, 3]]

B. [[3, 4], [4, 5]]

C. [[0, 1], [1, 2]]

D. []

Solution

1. Step 1: Analyze graph structure

   Edges 0-1, 1-2, 2-0 form a triangle (cycle). Edges 3-4, 4-5, 5-3 form another cycle. Edge 1-3 connects these two cycles.

2. Step 2: Identify bridges

   Only edge 1-3 is a bridge because removing it disconnects the two cycles. Other edges are part of cycles and not bridges.

3. Final Answer:

   [[1, 3]] -> Option A

4. Quick Check:

   Bridge connects two cycles = [[1, 3]] [OK]

Hint: Bridges connect separate cycles or components [OK]

Common Mistakes:

• Marking cycle edges as bridges
• Missing the connecting bridge edge
• Confusing node pairs