Two Pointer Technique on Arrays in DSA Typescript - Time & Space Complexity

Time Complexity: Two Pointer Technique on Arrays

O(n)

Understanding Time Complexity

We want to understand how fast the two pointer technique works when scanning arrays.

Specifically, how the number of steps changes as the array gets bigger.

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

function twoPointerExample(arr: number[], target: number): boolean {
  let left = 0;
  let right = arr.length - 1;
  while (left <= right) {
    const sum = arr[left] + arr[right];
    if (sum === target) return true;
    else if (sum < target) left++;
    else right--;
  }
  return false;
}
    

This code tries to find if two numbers in a sorted array add up to a target value using two pointers.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The while loop moves two pointers through the array.
• How many times: Each pointer moves at most the length of the array once.

How Execution Grows With Input

As the array size grows, the total steps increase roughly in a straight line.

Input Size (n)	Approx. Operations
10	Up to 10 steps
100	Up to 100 steps
1000	Up to 1000 steps

Pattern observation: The number of steps grows directly with the size of the array.

Final Time Complexity

Time Complexity: O(n)

This means the time taken grows linearly as the array gets bigger.

Common Mistake

[X] Wrong: "Since there are two pointers, the time is O(n²)."

[OK] Correct: Each pointer only moves forward and never goes back, so total moves are at most n, not n times n.

Interview Connect

Understanding this technique helps you solve many array problems efficiently and shows you can write fast code.

Self-Check

"What if the array was not sorted? How would the time complexity change?"

Practice

1. What is the main idea behind the Two Pointer Technique when used on arrays?

easy

A. Use a single pointer to iterate through the array once

B. Use two indices to scan the array from different ends or positions simultaneously

C. Sort the array before processing it with one pointer

D. Use recursion to divide the array into two parts

Solution

1. Step 1: Understand the technique

   The Two Pointer Technique involves using two indices or pointers to traverse the array, often from opposite ends or different positions.

2. Step 2: Compare with other options

   Options A, C, and D describe different methods like single pointer iteration, sorting, or recursion, which are not the core idea of two pointers.

3. Final Answer:

   Use two indices to scan the array from different ends or positions simultaneously -> Option B

4. Quick Check:

   Two pointers = two indices scanning array [OK]

Hint: Two pointers move independently to cover array efficiently [OK]

Common Mistakes:

• Thinking it uses only one pointer
• Confusing with sorting or recursion
• Assuming pointers move only forward

2. Which of the following is the correct TypeScript syntax to initialize two pointers at the start and end of an array named arr?

easy

A. let left = arr[0], right = arr[arr.length];

B. let left = 1, right = arr.length;

C. let left = 0, right = arr.length - 1;

D. let left = arr.length, right = 0;

Solution

1. Step 1: Identify correct pointer initialization

   For two pointers at array ends, left starts at 0 (first index), right at arr.length - 1 (last index).

2. Step 2: Check other options for errors

   let left = 1, right = arr.length; uses invalid indices (arr.length is out of bounds). let left = arr[0], right = arr[arr.length]; assigns values from array elements, not indices. let left = arr.length, right = 0; reverses pointers incorrectly.

3. Final Answer:

   let left = 0, right = arr.length - 1; -> Option C

4. Quick Check:

   Start = 0, End = length-1 [OK]

Hint: Array indices start at 0, last index is length minus one [OK]

Common Mistakes:

• Using arr.length as an index (out of bounds)
• Assigning pointer to array values instead of indices
• Swapping left and right initialization

3. What will be the output of the following TypeScript code?

const arr = [1, 3, 5, 7, 9];
let left = 0;
let right = arr.length - 1;
let sumPairs = [];
while (left < right) {
  sumPairs.push(arr[left] + arr[right]);
  left++;
  right--;
}
console.log(sumPairs);

medium

A. [10, 16]

B. [10, 12]

C. [10, 8]

D. [10, 10]

Solution

1. Step 1: Trace the loop iterations

   Initial pointers: left=0, right=4
   Iteration 1: arr[0]+arr[4] = 1+9=10, sumPairs=[10]
   left=1, right=3
   Iteration 2: arr[1]+arr[3] = 3+7=10, sumPairs=[10,10]
   left=2, right=2 (loop ends as left is not less than right)

2. Step 2: Final output array

   The sumPairs array contains [10, 10] after the loop finishes.

3. Final Answer:

   [10, 10] -> Option D

4. Quick Check:

   Pairs sums = [10, 10] [OK]

Hint: Add elements at left and right, move pointers inward [OK]

Common Mistakes:

• Including middle element sum when left equals right
• Incorrect pointer updates causing infinite loop
• Wrong sum calculations or indices

4. Identify the bug in the following TypeScript code that uses two pointers to find if a sorted array contains two numbers summing to target.

function hasPairSum(arr: number[], target: number): boolean {
  let left = 0;
  let right = arr.length;
  while (left < right) {
    const sum = arr[left] + arr[right];
    if (sum === target) return true;
    else if (sum < target) left++;
    else right--;
  }
  return false;
}

medium

A. Right pointer initialized to arr.length instead of arr.length - 1

B. Left pointer should start at 1, not 0

C. The loop condition should be left <= right

D. The sum calculation should use arr[left] - arr[right]

Solution

1. Step 1: Check pointer initialization

   The right pointer is set to arr.length, which is out of array bounds. It should be arr.length - 1 to point to the last element.

2. Step 2: Validate other parts

   Left pointer at 0 is correct. Loop condition left < right is standard. Sum calculation uses addition correctly.

3. Final Answer:

   Right pointer initialized to arr.length instead of arr.length - 1 -> Option A

4. Quick Check:

   Right pointer must be last index (length-1) [OK]

Hint: Array last index is length minus one, not length [OK]

Common Mistakes:

• Using arr.length as index causing runtime error
• Changing loop condition incorrectly
• Mistaking sum operation for subtraction

5. Given a sorted array arr of integers, how can you use the Two Pointer Technique to find all unique pairs that sum up to a target value target? Choose the best approach.

hard

A. Initialize two pointers at start and end; move inward adjusting pointers based on sum; skip duplicates to collect unique pairs

B. Use nested loops to check all pairs and add those matching target

C. Sort the array first, then use a hash map to find complements

D. Initialize pointers both at start and move forward checking sums

Solution

1. Step 1: Use two pointers at array ends

   Start with left at 0 and right at arr.length - 1. Calculate sum of elements at these pointers.

2. Step 2: Move pointers and skip duplicates

   If sum equals target, record pair and move both pointers skipping duplicates. If sum less than target, move left pointer right. If sum greater, move right pointer left.

3. Step 3: Collect unique pairs efficiently

   This approach avoids nested loops and handles duplicates by skipping repeated values, ensuring unique pairs.

4. Final Answer:

   Initialize two pointers at start and end; move inward adjusting pointers based on sum; skip duplicates to collect unique pairs -> Option A

5. Quick Check:

   Two pointers + skip duplicates = unique pairs [OK]

Hint: Move pointers inward and skip duplicates for unique pairs [OK]

Common Mistakes:

• Using nested loops causing higher time complexity
• Not skipping duplicates leading to repeated pairs
• Incorrect pointer movement causing missed pairs