What if you could find pairs in a list without checking every single combination?
Why Two Pointer Technique on Arrays in DSA Rust?
Imagine you have a long list of numbers and you want to find pairs that add up to a certain value. Doing this by checking every possible pair one by one feels like searching for a needle in a haystack.
Checking every pair means a lot of repeated work and takes a long time, especially if the list is big. It's easy to make mistakes or miss pairs because you have to remember which ones you already checked.
The two pointer technique uses two markers moving through the list from different ends. This way, you can quickly find pairs or solve problems by moving pointers smartly without checking everything.
for i in 0..arr.len() { for j in (i + 1)..arr.len() { if arr[i] + arr[j] == target { println!("Pair found: {} and {}", arr[i], arr[j]); } } }
let mut arr_sorted = arr.to_vec(); arr_sorted.sort_unstable(); let mut left = 0; let mut right = arr_sorted.len() - 1; while left < right { let sum = arr_sorted[left] + arr_sorted[right]; if sum == target { println!("Pair found: {} and {}", arr_sorted[left], arr_sorted[right]); left += 1; right -= 1; } else if sum < target { left += 1; } else { right -= 1; } }
This technique lets you solve problems involving pairs or ranges in arrays much faster and with less confusion.
Finding two expenses that add up to your budget limit quickly without checking every possible combination.
Manual pair checking is slow and error-prone.
Two pointers move from both ends to find answers efficiently.
It speeds up problems involving pairs or sorted arrays.
Practice
Two Pointer Technique when used on arrays?Solution
Step 1: Understand the technique
The two pointer technique uses two indices or pointers to traverse the array, often from opposite ends or different positions.Step 2: Identify the purpose
This helps solve problems like finding pairs, removing duplicates, or partitioning efficiently without extra space.Final Answer:
Use two indices to scan the array from different ends or positions simultaneously -> Option DQuick Check:
Two pointers = two indices scanning array [OK]
- Confusing two pointers with two separate arrays
- Assuming sorting is always required
- Thinking recursion is part of two pointer technique
arr?Solution
Step 1: Check pointer initialization
Two pointers usually start at the beginning (0) and end (length - 1) of the array.Step 2: Verify mutability and valid indices
Pointers must be mutable to move, and indices must be within array bounds (0 to len-1).Final Answer:
let (mut left, mut right) = (0, arr.len() - 1); -> Option BQuick Check:
Start pointers at 0 and len-1 with mut [OK]
- Using non-mutable pointers when they need to move
- Setting pointers outside array bounds
- Swapping start and end indices
let arr = vec![1, 2, 3, 4, 5];
let (mut left, mut right) = (0, arr.len() - 1);
let mut sum_pairs = Vec::new();
while left < right {
sum_pairs.push(arr[left] + arr[right]);
left += 1;
right -= 1;
}
println!("{:?}", sum_pairs);Solution
Step 1: Trace pointer movements and sums
Initially, left=0, right=4: sum = 1+5=6; then left=1, right=3: sum = 2+4=6; loop stops when left=2, right=2.Step 2: Collect sums in vector
The sums collected are [6, 6].Final Answer:
[6, 6] -> Option AQuick Check:
Pairs sums = [6, 6] [OK]
- Not stopping loop when pointers meet
- Adding wrong pairs or indices
- Off-by-one errors in pointer updates
let arr = vec![1, 2, 3, 7, 8];
let (mut left, mut right) = (0, arr.len());
while left < right {
let sum = arr[left] + arr[right];
if sum == 10 {
println!("Found");
break;
} else if sum < 10 {
left += 1;
} else {
right -= 1;
}
}Solution
Step 1: Check pointer initialization
right is set to arr.len(), which is one past the last valid index (arr.len() - 1).Step 2: Understand consequences
Accessing arr[right] causes an out-of-bounds error and program panic.Final Answer:
right is initialized to arr.len(), which is out of bounds -> Option CQuick Check:
Array indices go 0 to len-1 [OK]
- Using arr.len() as index instead of arr.len() - 1
- Incorrect loop condition allowing invalid access
- Mixing addition and subtraction in sum calculation
Solution
Step 1: Use two pointers from start and end
Initialize left at 0 and right at last index, move inward based on sum comparison.Step 2: Skip duplicates after finding a valid pair
After adding a pair, increment left while next value equals current, decrement right similarly to avoid duplicates.Final Answer:
Move left and right pointers inward, skipping duplicates after finding a valid pair -> Option AQuick Check:
Skip duplicates by moving pointers after valid pair [OK]
- Not skipping duplicates causing repeated pairs
- Using nested loops instead of two pointers
- Moving only one pointer regardless of sum
Ready to prove it?
Pass the test and this pattern moves unknown
