DP on Trees Diameter of Tree in DSA C++ - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the diameter of a tree?

The diameter of a tree is the longest path between any two nodes in the tree. It can pass through or not pass through the root.

intermediate

Why do we use dynamic programming (DP) on trees to find the diameter?

DP helps store intermediate results like the longest path from a node to its descendants, avoiding repeated calculations and efficiently finding the diameter.

intermediate

In the DP approach, what two values do we usually keep track of at each node?

1. The longest path from the node down to any leaf (max depth).
2. The longest diameter found so far in the subtree rooted at that node.

advanced

How do you update the diameter at a node during DFS traversal?

At each node, consider the two longest depths from its children. The sum of these two depths plus 2 (edges) can update the diameter if it's larger than the current maximum.

beginner

What is the time complexity of finding the diameter of a tree using DP?

The time complexity is O(N), where N is the number of nodes, because each node and edge is visited once during DFS.

What does the diameter of a tree represent?

A Height of the tree

B Number of nodes in the tree

C Number of leaves

D Longest path between any two nodes

The diameter is the longest path between any two nodes in the tree.

Which traversal method is commonly used to compute the diameter using DP?

A Breadth-first search (BFS)

B Depth-first search (DFS)

C Level order traversal

D Inorder traversal

DFS is used to explore nodes deeply and compute longest paths from children.

What two longest depths from children are used to update the diameter at a node?

A Two longest depths

B Shortest and longest depths

C Two shortest depths

D Random depths

The two longest depths from children help form the longest path through the node.

What is the main benefit of using DP on trees for diameter calculation?

A Slower than brute force

B Uses more memory

C Avoids repeated calculations by storing results

D Only works for binary trees

DP stores intermediate results to avoid recalculating longest paths multiple times.

What is the time complexity of the DP approach to find the diameter of a tree?

A O(N)

B O(N log N)

C O(log N)

D O(N^2)

Each node is visited once, so the time complexity is linear, O(N).

Explain how dynamic programming helps find the diameter of a tree using DFS.

Think about how you can use information from children to find the longest path through a node.

Describe the steps to compute the diameter of a tree using DP on trees.

Focus on what you calculate at each node and how you update the diameter.

Practice

1. What does the diameter of a tree represent in graph theory?

easy

A. The longest path between any two nodes in the tree

B. The number of nodes in the tree

C. The height of the tree from the root

D. The number of leaf nodes in the tree

Solution

1. Step 1: Understand the definition of tree diameter

   The diameter is defined as the longest path between any two nodes in a tree, not necessarily passing through the root.

2. Step 2: Differentiate from other tree properties

   Height is the longest path from root to leaf, number of nodes and leaves are counts, not path lengths.

3. Final Answer:

   The longest path between any two nodes in the tree -> Option A

4. Quick Check:

   Diameter = longest path in tree [OK]

Hint: Diameter = longest path between any two nodes [OK]

Common Mistakes:

• Confusing diameter with height
• Thinking diameter counts nodes instead of path length
• Assuming diameter must pass through root

2. Which of the following is the correct way to declare a vector of vectors to represent an adjacency list for a tree in C++?

easy

A. std::vector<int> adj[n];

B. std::vector adj(n);

C. std::vector adj(n, std::vector<int>());

D. std::vector adj(n);

Solution

1. Step 1: Understand vector of vectors syntax

   Correct syntax uses std::vector adj(n); to create n empty vectors.

2. Step 2: Check other options for errors

   std::vector<int> adj[n]; uses array of vectors (valid but less modern), C misses template arguments, D misses template parameters.

3. Final Answer:

   std::vector adj(n); -> Option B

4. Quick Check:

   Correct vector of vectors syntax = std::vector adj(n); [OK]

Hint: Use std::vector adj(n); for adjacency list [OK]

Common Mistakes:

• Missing template parameters in vector
• Using C-style arrays instead of vectors
• Incorrect initialization syntax

3. Consider the following C++ code snippet to find the diameter of a tree using DFS and DP. What will be the output if the tree edges are: (0-1), (1-2), (1-3)?

std::vector adj(4);
adj[0].push_back(1); adj[1].push_back(0);
adj[1].push_back(2); adj[2].push_back(1);
adj[1].push_back(3); adj[3].push_back(1);

int diameter = 0;

int dfs(int node, int parent, const std::vector& adj, int& diameter) {
    int max1 = 0, max2 = 0;
    for (int child : adj[node]) {
        if (child == parent) continue;
        int height = dfs(child, node, adj, diameter) + 1;
        if (height > max1) {
            max2 = max1;
            max1 = height;
        } else if (height > max2) {
            max2 = height;
        }
    }
    diameter = std::max(diameter, max1 + max2);
    return max1;
}

dfs(0, -1, adj, diameter);
std::cout << diameter << std::endl;

medium

A. 3

B. 1

C. 0

D. 2

Solution

1. Step 1: Understand the tree structure and DFS traversal

   The tree edges form a structure: 0-1 connected, 1 connected to 2 and 3. The longest path is from node 2 to node 3 through 1, length 2 edges.

2. Step 2: Calculate diameter from DFS logic

   DFS calculates max1 and max2 heights from children. For node 1, max1=1 (to 2), max2=1 (to 3), so diameter = max(0,1+1)=2.

3. Final Answer:

   2 -> Option D

4. Quick Check:

   Longest path length = 2 edges [OK]

Hint: Diameter = sum of two longest child heights at any node [OK]

Common Mistakes:

• Counting nodes instead of edges for diameter
• Not updating diameter correctly
• Confusing parent and child in DFS

4. The following code attempts to compute the diameter of a tree but produces incorrect results. What is the main bug?

int dfs(int node, int parent, const std::vector& adj, int& diameter) {
    int maxHeight = 0;
    for (int child : adj[node]) {
        if (child == parent) continue;
        int height = dfs(child, node, adj, diameter) + 1;
        if (height > maxHeight) {
            maxHeight = height;
            diameter = std::max(diameter, maxHeight);
        }
    }
    return maxHeight;
}

medium

A. DFS does not return any value

B. Parent node is not skipped in DFS

C. Diameter is updated only with maxHeight, missing sum of two heights

D. Height is not incremented correctly

Solution

1. Step 1: Analyze diameter update logic

   The code updates diameter only with maxHeight, which is the longest single path from current node, but diameter requires sum of two longest paths through the node.

2. Step 2: Identify missing second longest path

   Without tracking two longest heights, the code misses paths passing through the node combining two children, leading to incorrect diameter.

3. Final Answer:

   Diameter is updated only with maxHeight, missing sum of two heights -> Option C

4. Quick Check:

   Diameter needs sum of two longest child heights [OK]

Hint: Track two longest heights to update diameter correctly [OK]

Common Mistakes:

• Updating diameter with only one child's height
• Not skipping parent node in DFS
• Forgetting to increment height by 1

5. Given a tree with 6 nodes and edges: (0-1), (1-2), (1-3), (3-4), (4-5), what is the diameter of the tree? Use the DP on Trees approach where diameter is the longest path between any two nodes.

hard

A. 5

B. 4

C. 3

D. 6

Solution

1. Step 1: Visualize the tree and identify longest path

   The tree edges form paths: 0-1-3-4-5 and 2 connected to 1. The longest path is from node 2 to node 5 passing through 1,3,4 with length 5 edges.

2. Step 2: Calculate diameter using DP on Trees logic

   At node 1, two longest child heights are 1 (to 2) and 3 (to 5). Diameter = max(diameter, 1+3) = 4, but the longest path is from 2 to 5 which is 4 edges plus 1 edge from 0 to 1 is not part of longest path. Actually, the longest path is from node 2 to node 5 passing through 1,3,4 with length 5 edges.

3. Final Answer:

   5 -> Option A

4. Quick Check:

   Longest path length = 5 edges [OK]

Hint: Diameter = sum of two longest child heights at a node [OK]

Common Mistakes:

• Counting nodes instead of edges for diameter
• Ignoring one branch in longest path
• Miscounting edges in path