Why Generate All Combinations Sum K in DSA Typescript?

The Big Idea

What if you could instantly find every way to combine numbers to hit your exact target without missing any?

The Scenario

Imagine you have a box of different colored beads, and you want to find all the ways to pick some beads so that their values sum to exactly 5. Doing this by guessing or writing down every possible group by hand would take forever!

The Problem

Trying to list all groups manually is slow and confusing. You might miss some groups or repeat others. It's hard to keep track of which combinations you already tried, especially as the number of beads grows.

The Solution

Using a method to generate all combinations that add up to a target number helps you find every possible group quickly and without mistakes. This method tries each bead, adds it if it fits, and moves on, backtracking when needed to explore all options.

Before vs After

✗ Before

let results = [];
// Manually write all groups that sum to 5
results.push([1,4]);
results.push([2,3]);
// ... and so on, missing many combinations

✓ After

function findCombinations(nums: number[], target: number) {
  const results: number[][] = [];
  function backtrack(start: number, path: number[], sum: number) {
    if (sum === target) {
      results.push([...path]);
      return;
    }
    if (sum > target) return;
    for (let i = start; i < nums.length; i++) {
      path.push(nums[i]);
      backtrack(i + 1, path, sum + nums[i]);
      path.pop();
    }
  }
  backtrack(0, [], 0);
  return results;
}

What It Enables

This lets you quickly find every possible group of numbers that add up to a target, unlocking solutions for puzzles, budgeting, and planning tasks.

Real Life Example

Suppose you want to split a bill exactly using different coin values. Generating all combinations that sum to the bill amount helps you find all ways to pay without leftovers.

Key Takeaways

Manual listing is slow and error-prone.

Backtracking finds all combinations efficiently.

Useful for puzzles, budgeting, and planning.

Practice

1. What does the problem "Generate All Combinations Sum K" ask you to find?

easy

A. The count of numbers equal to K

B. The largest number less than K

C. All unique combinations of numbers that add up to K

D. The smallest number greater than K

Solution

1. Step 1: Understand the problem goal

   The problem asks to find all unique sets of numbers whose sum equals K.

2. Step 2: Clarify uniqueness and sum condition

   Each combination must sum exactly to K without duplicates in the result.

3. Final Answer:

   All unique combinations of numbers that add up to K -> Option C

4. Quick Check:

   Combinations sum to K = All unique combinations of numbers that add up to K [OK]

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

Common Mistakes:

• Confusing sum with count
• Including duplicate combinations
• Looking for single numbers only

2. Which of the following TypeScript function signatures correctly represents a function to generate all combinations summing to K from an array of numbers?

easy

A. function generateCombinations(nums: number, target: number[]): number[]

B. function generateCombinations(nums: number[], target: number): number[][]

C. function generateCombinations(nums: string[], target: string): string[]

D. function generateCombinations(nums: number[], target: number): number[]

Solution

1. Step 1: Analyze parameter types

   The function should take an array of numbers and a target number.

2. Step 2: Analyze return type

   It should return an array of arrays of numbers representing combinations.

3. Final Answer:

   function generateCombinations(nums: number[], target: number): number[][] -> Option B

4. Quick Check:

   Input array and target number, output array of number arrays [OK]

Hint: Input array and target number, output array of arrays [OK]

Common Mistakes:

• Using wrong parameter types
• Returning flat array instead of array of arrays
• Mixing string and number types

3. What is the output of the following TypeScript code?

function combineSum(nums: number[], target: number): number[][] {
  const result: number[][] = [];
  function backtrack(start: number, path: number[], sum: number) {
    if (sum === target) {
      result.push([...path]);
      return;
    }
    if (sum > target) return;
    for (let i = start; i < nums.length; i++) {
      path.push(nums[i]);
      backtrack(i + 1, path, sum + nums[i]);
      path.pop();
    }
  }
  backtrack(0, [], 0);
  return result;
}

console.log(combineSum([1, 2, 3], 3));

medium

A. [[1, 2], [3]]

B. [[1, 3], [2]]

C. [[3], [2, 1]]

D. [[1, 2, 3]]

Solution

1. Step 1: Trace backtracking calls

   Starting from 0, combinations are built adding numbers without reuse: [1,2] sums to 3, [3] sums to 3.

2. Step 2: Confirm valid combinations

   Other combinations like [2] or [1,3] do not sum to 3 or are invalid due to index increment.

3. Final Answer:

   [[1, 2], [3]] -> Option A

4. Quick Check:

   Combinations summing to 3 = [[1, 2], [3]] [OK]

Hint: Check sums and index increments carefully [OK]

Common Mistakes:

• Including combinations with reused elements
• Ignoring sum > target condition
• Confusing order of elements

4. Identify the bug in this TypeScript function that aims to generate all combinations summing to K:

function findCombos(nums: number[], target: number): number[][] {
  const res: number[][] = [];
  function dfs(i: number, path: number[], total: number) {
    if (total === target) {
      res.push(path);
      return;
    }
    if (total > target || i === nums.length) return;
    dfs(i + 1, path, total);
    path.push(nums[i]);
    dfs(i + 1, path, total + nums[i]);
    path.pop();
  }
  dfs(0, [], 0);
  return res;
}

medium

A. The function does not return any result

B. The base case does not check for total > target

C. The recursion does not increment index i

D. The path array is pushed by reference causing incorrect results

Solution

1. Step 1: Check how path is stored

   The path array is pushed directly without copying, so later changes affect stored results.

2. Step 2: Understand impact on results

   Because path is referenced, all stored combinations end up empty or incorrect after backtracking.

3. Final Answer:

   The path array is pushed by reference causing incorrect results -> Option D

4. Quick Check:

   Push copy of path, not reference [OK]

Hint: Always push a copy of path, not the original [OK]

Common Mistakes:

• Pushing path without copying
• Not handling base cases properly
• Incorrect index increment

5. Given an array with duplicates, how can you modify the combination sum algorithm to generate all unique combinations summing to K without duplicates in the result?

nums = [1, 2, 2, 3], target = 4

hard

A. Sort the array and skip duplicates during recursion

B. Use a Set to store all combinations as strings

C. Allow duplicates and filter results after generation

D. Ignore duplicates and generate all combinations

Solution

1. Step 1: Sort the input array

   Sorting groups duplicates together, making it easier to skip them during recursion.

2. Step 2: Skip duplicates in recursion

   When iterating, skip elements equal to the previous to avoid duplicate combinations.

3. Final Answer:

   Sort the array and skip duplicates during recursion -> Option A

4. Quick Check:

   Sorting + skipping duplicates = unique combinations [OK]

Hint: Sort and skip duplicates while recursing [OK]

Common Mistakes:

• Not sorting before recursion
• Filtering duplicates after generation (inefficient)
• Ignoring duplicates causing repeated results