Why Two Sum Problem Classic Hash Solution in DSA C#?

The Big Idea

What if you could find matching pairs instantly without checking every possibility?

The Scenario

Imagine you have a list of prices for items in a store, and you want to find two items that add up to a gift card amount. You try checking every pair one by one.

The Problem

Checking every pair means looking at each item with every other item. This takes a lot of time if the list is big, and you might miss pairs or repeat checks, making it slow and tiring.

The Solution

The classic hash solution uses a simple helper (a dictionary) to remember what numbers you've seen. It quickly tells you if the matching number to reach the target is already found, so you don't waste time checking all pairs.

Before vs After

✗ Before

for (int i = 0; i < nums.Length; i++) {
  for (int j = i + 1; j < nums.Length; j++) {
    if (nums[i] + nums[j] == target) return new int[] { i, j };
  }
}

✓ After

var map = new Dictionary<int, int>();
for (int i = 0; i < nums.Length; i++) {
  int complement = target - nums[i];
  if (map.ContainsKey(complement)) return new int[] { map[complement], i };
  map[nums[i]] = i;
}

What It Enables

This method lets you find pairs that add up to a target quickly, even in very large lists, saving time and effort.

Real Life Example

When shopping online, you want to quickly find two products that together use your full gift card without going over. This solution helps the website find those pairs instantly.

Key Takeaways

Manual pair checking is slow and repeats work.

Using a dictionary remembers seen numbers for quick lookup.

This approach finds pairs in one pass, making it fast and efficient.

Practice

1. What is the main purpose of using a hash map in the Two Sum Problem Classic Hash Solution?

easy

A. To store the sum of all pairs

B. To sort the array before searching

C. To reverse the array elements

D. To quickly check if the complement of the current number exists

Solution

1. Step 1: Understand the role of hash map

   The hash map stores numbers and their indices for quick lookup.

2. Step 2: Use hash map to find complement

   For each number, check if (target - number) exists in the map to find the pair.

3. Final Answer:

   To quickly check if the complement of the current number exists -> Option D

4. Quick Check:

   Hash map = fast complement check [OK]

Hint: Hash map helps find pairs in one pass [OK]

Common Mistakes:

• Thinking hash map sorts the array
• Trying to store sums instead of indices
• Ignoring the complement concept

2. Which of the following is the correct syntax to declare a dictionary in C# for the Two Sum problem?

easy

A. Dictionary map = new Dictionary();

B. var map = new List<int>();

C. HashMap map = new HashMap();

D. Dictionary map = new Dictionary();

Solution

1. Step 1: Identify correct dictionary declaration

   In C#, Dictionary<int, int> is used for key-value pairs.

2. Step 2: Check syntax correctness

   Dictionary map = new Dictionary(); correctly declares and initializes the dictionary.

3. Final Answer:

   Dictionary map = new Dictionary(); -> Option A

4. Quick Check:

   C# dictionary syntax = Dictionary map = new Dictionary(); [OK]

Hint: Use Dictionary for key-value pairs [OK]

Common Mistakes:

• Using List instead of Dictionary
• Using Java's HashMap syntax in C#
• Not specifying generic types

3. What will be the output of the following C# code snippet for input array [2, 7, 11, 15] and target 9?

public int[] TwoSum(int[] nums, int target) {
    Dictionary map = new Dictionary();
    for (int i = 0; i < nums.Length; i++) {
        int complement = target - nums[i];
        if (map.ContainsKey(complement)) {
            return new int[] { map[complement], i };
        }
        map[nums[i]] = i;
    }
    return new int[] { -1, -1 };
}

medium

A. [1, 2]

B. [0, 1]

C. [-1, -1]

D. [2, 3]

Solution

1. Step 1: Trace the loop and map updates

   At i=0, map is empty; add (2,0). At i=1, complement=9-7=2 found in map at index 0.

2. Step 2: Return indices of complement and current

   Return [0,1] as the pair sums to 9.

3. Final Answer:

   [0, 1] -> Option B

4. Quick Check:

   nums[0]+nums[1] = 2+7 = 9 [OK]

Hint: Check complement in map before adding current [OK]

Common Mistakes:

• Returning indices in wrong order
• Not updating map correctly
• Returning [-1, -1] incorrectly

4. Identify the bug in this Two Sum solution code snippet:

public int[] TwoSum(int[] nums, int target) {
    Dictionary map = new Dictionary();
    for (int i = 0; i <= nums.Length; i++) {
        int complement = target - nums[i];
        if (map.ContainsKey(complement)) {
            return new int[] { map[complement], i };
        }
        map[nums[i]] = i;
    }
    return new int[] { -1, -1 };
}

medium

A. Dictionary should be a List

B. Complement calculation is wrong

C. Loop condition should be < instead of <=

D. Return statement is missing

Solution

1. Step 1: Check loop boundary

   The loop uses i <= nums.Length which causes index out of range error.

2. Step 2: Correct loop condition

   Change to i < nums.Length to avoid accessing invalid index.

3. Final Answer:

   Loop condition should be < instead of <= -> Option C

4. Quick Check:

   Loop boundary off by one causes error [OK]

Hint: Use < length for array loops to avoid errors [OK]

Common Mistakes:

• Using <= instead of < in loop
• Confusing data structures
• Ignoring index out of range exceptions

5. Given the array [3, 3, 4, 5] and target 6, what will the Two Sum hash solution return and why?

hard

A. [0, 1] because the first two 3's sum to 6

B. [1, 2] because 3 and 4 sum to 6

C. [-1, -1] because no pair sums to 6

D. [2, 3] because 4 and 5 sum to 6

Solution

1. Step 1: Trace the map and complements

   At i=0, map empty, add (3,0). At i=1, complement=6-3=3 found at index 0.

2. Step 2: Return indices of matching pair

   Return [0,1] because nums[0]+nums[1]=3+3=6.

3. Final Answer:

   [0, 1] because the first two 3's sum to 6 -> Option A

4. Quick Check:

   Duplicate values handled correctly [OK]

Hint: Duplicates can form valid pairs if indices differ [OK]

Common Mistakes:

• Ignoring duplicates in map
• Assuming no pair exists with same number twice
• Returning wrong indices