Discover how a simple table can save you from endless guessing and speed up your search!
Why Two Sum Problem Classic Hash Solution in DSA Javascript?
Imagine you have a list of prices for items in a store, and you want to find two items that add up to exactly the amount of money you have in your wallet.
You try to check every possible pair by hand, adding each pair to see if it matches your money.
Checking every pair manually takes a lot of time, especially if the list is long.
You might miss pairs or repeat checks, making it slow and frustrating.
The Two Sum Classic Hash Solution uses a simple table to remember what numbers you've seen.
Instead of checking all pairs, you look up if the number needed to reach your target is already in the table.
This way, you find the answer quickly without repeating work.
for (let i = 0; i < nums.length; i++) { for (let j = i + 1; j < nums.length; j++) { if (nums[i] + nums[j] === target) return [i, j]; } }
const map = new Map(); for (let i = 0; i < nums.length; i++) { const complement = target - nums[i]; if (map.has(complement)) return [map.get(complement), i]; map.set(nums[i], i); }
This method lets you find pairs that add up to a target in just one pass, making your code fast and efficient.
When shopping online, the website can quickly suggest two products that fit your budget by using this method behind the scenes.
Manual pair checking is slow and repeats work.
Using a hash table remembers seen numbers for quick lookup.
This approach finds pairs in one pass, saving time.
Practice
Solution
Step 1: Understand the role of hash map
The hash map stores each number as a key and its index as the value for quick access.Step 2: Explain why quick lookup is needed
Quick lookup helps find if the complement (target - current number) exists without scanning the entire array again.Final Answer:
To store numbers and their indices for quick lookup -> Option AQuick Check:
Hash map = quick index lookup [OK]
- Thinking hash map sorts the array
- Storing sums instead of indices
- Using hash map to reverse array
Solution
Step 1: Recall JavaScript Map method for key check
The correct method to check if a key exists in a Map ishas().Step 2: Verify other options are invalid
Methodscontains(),exists(), andincludes()do not exist on Map objects.Final Answer:
map.has(key) -> Option AQuick Check:
Map key check = has() [OK]
- Using contains() instead of has()
- Using includes() which is for arrays
- Trying to access keys directly
function twoSum(nums, target) {
const map = new Map();
for (let i = 0; i < nums.length; i++) {
const complement = target - nums[i];
if (map.has(complement)) {
return [map.get(complement), i];
}
map.set(nums[i], i);
}
return [];
}
console.log(twoSum([2, 7, 11, 15], 9));Solution
Step 1: Trace the loop and map updates
At i=0, map is empty, store (2,0). At i=1, complement=9-7=2, map has 2 at index 0.Step 2: Return indices when complement found
Return [0,1] as indices of numbers 2 and 7 that sum to 9.Final Answer:
[0, 1] -> Option CQuick Check:
Indices of 2 and 7 = [0, 1] [OK]
- Returning values instead of indices
- Not updating map before checking complement
- Returning empty array incorrectly
function twoSum(nums, target) {
const map = new Map();
for (let i = 0; i <= nums.length; i++) {
const complement = target - nums[i];
if (map.has(complement)) {
return [map.get(complement), i];
}
map.set(nums[i], i);
}
return [];
}Solution
Step 1: Check loop boundary
The loop uses i <= nums.length which causes out-of-bounds access at last iteration.Step 2: Correct loop condition
Change to i < nums.length to avoid accessing undefined element.Final Answer:
Loop condition should be i < nums.length, not i <= nums.length -> Option DQuick Check:
Loop boundary off-by-one error [OK]
- Using <= instead of < in loop
- Swapping map.set and complement check order
- Returning values instead of indices
nums = [3, 3, 4, 5] and target 6, what will the Two Sum classic hash solution return?
function twoSum(nums, target) {
const map = new Map();
for (let i = 0; i < nums.length; i++) {
const complement = target - nums[i];
if (map.has(complement)) {
return [map.get(complement), i];
}
map.set(nums[i], i);
}
return [];
}Solution
Step 1: Trace the loop with duplicates
At i=0, map empty, store (3,0). At i=1, complement=6-3=3, map has 3 at index 0.Step 2: Return indices of first matching pair
Return [0,1] because nums[0] + nums[1] = 3 + 3 = 6.Final Answer:
[0, 1] -> Option BQuick Check:
Duplicates handled, first pair indices returned [OK]
- Returning later pair indices instead of first
- Ignoring duplicates in map
- Returning values instead of indices
Ready to prove it?
Pass the test and this pattern moves unknown
