Why Generate All Combinations Sum K in DSA C++?

The Big Idea

What if you could instantly find every way to combine numbers to hit your target without missing a single one?

The Scenario

Imagine you have a list of different coins, and you want to find all the ways to pick some coins so their total value is exactly a certain number, say 10. Doing this by trying every possible group by hand would take forever!

The Problem

Manually checking every possible group of coins is slow and confusing. You might miss some combinations or repeat others. It's easy to make mistakes and waste a lot of time.

The Solution

Using a method to generate all combinations that sum to the target number helps us find every possible group quickly and without missing any. It organizes the search so we don't repeat or forget any combinations.

Before vs After

✗ Before

vector<int> coins = {1, 2, 3};
// Manually try all groups and check sums
// Very long and error-prone

✓ After

void findCombinations(int start, int target, vector<int>& current, vector<vector<int>>& results, const vector<int>& coins) {
  if (target == 0) {
    results.push_back(current);
    return;
  }
  for (int i = start; i < coins.size(); i++) {
    if (coins[i] <= target) {
      current.push_back(coins[i]);
      findCombinations(i + 1, target - coins[i], current, results, coins);
      current.pop_back();
    }
  }
}

What It Enables

This lets us quickly find every unique way to combine numbers to reach a target sum, which is useful in many problems like budgeting, resource allocation, and game strategies.

Real Life Example

Think about planning a party with a fixed budget. You want to find all possible sets of snacks you can buy without going over your budget. This method helps you list all those snack combinations easily.

Key Takeaways

Manual checking is slow and error-prone.

Generating combinations systematically finds all solutions without repeats.

This method helps solve many real-world problems involving sums and choices.

Practice

1. What is the main goal of the Generate All Combinations Sum K problem?

easy

A. Count the total number of elements in an array

B. Find all unique combinations of numbers that add up to a target sum K

C. Find the maximum number in an array

D. Sort an array of numbers in ascending order

Solution

1. Step 1: Understand the problem goal

   The problem asks to find all unique sets of numbers that add up exactly to a given sum K.

2. Step 2: Differentiate from other tasks

   Sorting, finding max, or counting elements do not involve finding combinations that sum to K.

3. Final Answer:

   Find all unique combinations of numbers that add up to a target sum K -> Option B

4. Quick Check:

   Goal = Find combinations summing to K [OK]

Hint: Focus on combinations that sum exactly to K [OK]

Common Mistakes:

• Confusing sum with sorting
• Looking for max instead of combinations
• Counting elements instead of combinations

2. Which of the following C++ function signatures is correct for a recursive function that generates all combinations summing to K from a vector of integers named candidates?

easy

A. void findCombinations(int index, int target, vector<int>& candidates, vector<int>& current, vector& result)

B. int findCombinations(vector<int> candidates, int target, int index, vector<int> current, vector result)

C. void findCombinations(vector<int> candidates, int target, vector<int> current, vector result)

D. vector<int> findCombinations(int target, vector<int> candidates)

Solution

1. Step 1: Check parameter passing and types

   void findCombinations(int index, int target, vector<int>& candidates, vector<int>& current, vector& result) uses references for vectors to avoid copying and includes all needed parameters: index, target, candidates, current combination, and result container.

2. Step 2: Identify correct return type and parameters

   void findCombinations(int index, int target, vector<int>& candidates, vector<int>& current, vector& result) returns void because it modifies result by reference. Other options either return wrong types or pass vectors by value causing inefficiency.

3. Final Answer:

   void findCombinations(int index, int target, vector<int>& candidates, vector<int>& current, vector& result) -> Option A

4. Quick Check:

   Correct signature uses references and void return [OK]

Hint: Use references to avoid copying large vectors [OK]

Common Mistakes:

• Passing vectors by value causing slow code
• Wrong return type for recursive helper
• Missing index parameter to track position

3. What is the output of the following C++ code snippet that generates all combinations summing to 5 from candidates {1, 2, 3}?

vector<int> candidates = {1, 2, 3};
vector result;
vector<int> current;
findCombinations(0, 5, candidates, current, result);
for (auto &comb : result) {
    for (int num : comb) cout << num << ' ';
    cout << '\n';
}

medium

A. No output

B. 1 2 3
2 3
1 1 3

C. 1 1 1 1 1
2 2 1
3 2

D. 1 1 1 1 1
1 1 1 2
1 1 3
1 2 2
2 3

Solution

1. Step 1: Understand combinations summing to 5

   Possible combinations using {1,2,3} that sum to 5 include: - 1+1+1+1+1 - 1+1+1+2 - 1+1+3 - 1+2+2 - 2+3

2. Step 2: Verify output matches these combinations

   1 1 1 1 1 1 1 1 2 1 1 3 1 2 2 2 3 lists all these combinations correctly, each on a new line, matching expected output.

3. Final Answer:

   1 1 1 1 1 1 1 1 2 1 1 3 1 2 2 2 3 -> Option D

4. Quick Check:

   All valid combos summing to 5 listed [OK]

Hint: List all combos adding to K stepwise [OK]

Common Mistakes:

• Missing some valid combinations
• Including combinations that exceed sum
• Printing duplicates or unordered results

4. Identify the bug in this recursive function snippet for generating combinations summing to K:

void findCombinations(int index, int target, vector<int>& candidates, vector<int>& current, vector& result) {
    if (target == 0) {
        result.push_back(current);
        return;
    }
    for (int i = index; i < candidates.size(); i++) {
        if (candidates[i] <= target) {
            current.push_back(candidates[i]);
            findCombinations(i + 1, target - candidates[i], candidates, current, result);
            current.pop_back();
        }
    }
}

medium

A. The recursive call should use 'i' instead of 'i + 1' to allow repeated elements

B. The base case should check if target < 0 instead of target == 0

C. The function should return an int instead of void

D. The loop should start from 0 instead of index

Solution

1. Step 1: Analyze recursive call for repeated elements

   Using 'i + 1' moves to next candidate, disallowing reuse of the same element multiple times.

2. Step 2: Correct recursive call to allow repeats

   Changing recursive call to use 'i' allows the same element to be chosen multiple times, which is needed for combinations sum problems allowing repeats.

3. Final Answer:

   The recursive call should use 'i' instead of 'i + 1' to allow repeated elements -> Option A

4. Quick Check:

   Use 'i' to allow repeats [OK]

Hint: Use same index in recursion to allow repeats [OK]

Common Mistakes:

• Incrementing index disallows repeated elements
• Wrong base case condition
• Incorrect return type for recursive helper

5. Given candidates {2, 3, 6, 7} and target sum 7, which of the following is the correct set of all unique combinations where numbers can be chosen unlimited times to sum to 7?

hard

A. [[2, 2, 2, 1], [7]]

B. [[7], [3, 3, 1]]

C. [[7], [2, 2, 3]]

D. [[6, 1], [2, 5]]

Solution

1. Step 1: Identify valid combinations summing to 7

   From candidates {2,3,6,7}, valid combinations with unlimited repeats are: - [7] - [2, 2, 3] (2+2+3=7)

2. Step 2: Check options for correctness

   [[7], [2, 2, 3]] lists these exact combinations. Others include invalid numbers like 1 or 5 which are not in candidates.

3. Final Answer:

   [[7], [2, 2, 3]] -> Option C

4. Quick Check:

   Only valid combos from candidates listed [OK]

Hint: Sum candidates repeatedly to reach target [OK]

Common Mistakes:

• Including numbers not in candidates
• Ignoring unlimited repeats
• Missing valid combinations