What if you could instantly find every way to combine numbers to hit your target without missing a single one?
Why Generate All Combinations Sum K in DSA Javascript?
Imagine you want to find all ways to pick numbers from a list that add up to a target sum, like choosing coins to pay exactly $10. Doing this by hand means trying every possible group, which quickly becomes confusing and slow.
Manually checking every combination is tiring and easy to mess up. As the list grows, the number of groups to check grows even faster, making it almost impossible to do without missing some or repeating others.
Using a smart method called backtracking, we can automatically explore all possible groups step-by-step, skipping groups that won't work early. This saves time and ensures we find all correct combinations without repeats.
const nums = [1,2,3]; // Manually try all combos // 1+2=3, 1+3=4, 2+3=5, etc. // Too many checks, easy to miss
function findCombos(nums, target) {
const results = [];
function backtrack(start, combo, sum) {
if (sum === target) {
results.push([...combo]);
return;
}
if (sum > target) return;
for (let i = start; i < nums.length; i++) {
combo.push(nums[i]);
backtrack(i + 1, combo, sum + nums[i]);
combo.pop();
}
}
backtrack(0, [], 0);
return results;
}This lets you quickly find every possible group of numbers that add up to your target, no matter how big the list is.
Planning a party budget where you want to combine different snack prices to exactly match your budget without overspending or missing options.
Manual checking is slow and error-prone for combination sums.
Backtracking explores all options efficiently and cleanly.
It helps find all groups that add up to a target sum without repeats.
Practice
Solution
Step 1: Understand the problem goal
The problem asks to find all unique sets of numbers that sum exactly to K.Step 2: Clarify what combinations mean
Combinations mean groups of numbers without regard to order, all adding to K.Final Answer:
All unique combinations of numbers that add up to K -> Option AQuick Check:
Combinations sum to K = All unique combinations of numbers that add up to K [OK]
- Confusing combinations with permutations
- Looking for counts instead of actual combinations
- Trying to find products instead of sums
Solution
Step 1: Identify correct recursive function signature
The function needs parameters for numbers, target sum, start index, current path, and result storage.Step 2: Check options for these parameters
Only function findCombos(nums, target, start, path, result) { ... } includes all necessary parameters for recursion and backtracking.Final Answer:
function findCombos(nums, target, start, path, result) { ... } -> Option CQuick Check:
Recursive function with all params = function findCombos(nums, target, start, path, result) { ... } [OK]
- Missing parameters needed for recursion
- Returning wrong values instead of building combinations
- Not including start index to avoid duplicates
function combinationSum(nums, target) {
const result = [];
function backtrack(start, path, sum) {
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(combinationSum([2,3,6,7], 7));Solution
Step 1: Understand the code logic
The function finds combinations of numbers from the array that sum to 7 without reuse (i + 1).Step 2: Trace the combinations
Only 7 alone sums to 7; others like 2+3=5, 2+3+6=11 exceed or don't match target.Final Answer:
[[7]] -> Option AQuick Check:
Only [7] sums to 7 without repeats = [[7]] [OK]
- Assuming numbers can be reused multiple times
- Including combinations that exceed target
- Not copying path array before pushing
function findCombos(nums, target) {
const result = [];
function backtrack(start, path, sum) {
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;
}Solution
Step 1: Check how results are stored
The code pushes 'path' directly, which is a reference and will change later.Step 2: Identify correct way to store combinations
Must push a copy of path (e.g., [...path]) to save current state.Final Answer:
The path array is pushed directly without copying, causing reference issues -> Option BQuick Check:
Push copy of path, not reference = The path array is pushed directly without copying, causing reference issues [OK]
- Pushing path reference instead of copy
- Incorrect loop start index causing duplicates
- Missing base case for sum equal to target
[1, 2, 3, 4] and target sum 5, which of the following is the correct set of all unique combinations that sum to 5, assuming numbers can be used only once?Solution
Step 1: List all combinations without reuse that sum to 5
Possible pairs: 1+4=5, 2+3=5; triples or singles don't sum to 5 without reuse.Step 2: Verify options against these combinations
[[1,4],[2,3]] matches these pairs exactly; others include duplicates or invalid sums.Final Answer:
[[1,4],[2,3]] -> Option DQuick Check:
Unique pairs summing to 5 = [[1,4],[2,3]] [OK]
- Including repeated numbers when only single use allowed
- Assuming single number 5 exists in array
- Counting invalid sums or duplicates
Ready to prove it?
Pass the test and this pattern moves unknown
