Why Linear Search Algorithm in DSA Typescript?

The Big Idea

What if you could find anything in a messy pile without sorting it first?

The Scenario

Imagine you have a messy drawer full of different colored socks. You want to find a red sock, but you have no idea where it is. So, you start pulling out socks one by one from the top until you find the red one.

The Problem

Searching like this by hand is slow and tiring. If the red sock is at the bottom, you waste time checking every single sock. You might also lose track or miss the sock if you get distracted.

The Solution

The linear search algorithm works just like checking each sock one by one, but it does it quickly and without mistakes. It goes through each item in a list until it finds the one you want or reaches the end.

Before vs After

✗ Before

let socks = ['blue', 'green', 'yellow', 'red', 'black'];
for (let i = 0; i < socks.length; i++) {
  if (socks[i] === 'red') {
    console.log('Found red sock at position', i);
    break;
  }
}

✓ After

function linearSearch(items: string[], target: string): number {
  for (let index = 0; index < items.length; index++) {
    if (items[index] === target) {
      return index;
    }
  }
  return -1;
}

const position = linearSearch(['blue', 'green', 'yellow', 'red', 'black'], 'red');
console.log('Found red sock at position', position);

What It Enables

Linear search lets you quickly find any item in a list without needing it to be sorted or organized.

Real Life Example

When you look for a contact name in your phone's unsorted list, your phone uses a linear search to find the name by checking each contact one by one.

Key Takeaways

Linear search checks each item one by one until it finds the target.

It works on any list, sorted or not.

It is simple but can be slow for very large lists.

Practice

1. What is the main idea behind the Linear Search Algorithm?

easy

A. Divide the list into halves repeatedly to find the target

B. Check each element one by one until the target is found or list ends

C. Sort the list first then search using binary steps

D. Use a hash table to find the target instantly

Solution

1. Step 1: Understand linear search process

   Linear search checks each element in order, from start to end, to find the target.

2. Step 2: Compare with other search methods

   Binary search divides list, hash uses extra memory, but linear search is simple sequential check.

3. Final Answer:

   Check each element one by one until the target is found or list ends -> Option B

4. Quick Check:

   Linear search = sequential check [OK]

Hint: Linear search means checking items one by one [OK]

Common Mistakes:

• Confusing linear search with binary search
• Thinking linear search requires sorted list
• Assuming linear search is always fastest

2. Which of the following is the correct TypeScript syntax to start a linear search loop over an array arr?

easy

A. for (let i = 0; i < arr.length; i++)

B. for (let i = 1; i <= arr.length; i++)

C. for (let i = 0; i <= arr.length; i++)

D. for (let i = 1; i < arr.length; i++)

Solution

1. Step 1: Identify correct loop start and end

   Array indices start at 0 and go up to length-1, so loop must start at 0 and run while i < length.

2. Step 2: Check each option's loop condition

   for (let i = 0; i < arr.length; i++) uses i=0 and i < arr.length, which is correct. Others either start at 1 or use <= which causes out-of-bounds.

3. Final Answer:

   for (let i = 0; i < arr.length; i++) -> Option A

4. Quick Check:

   Loop from 0 to length-1 [OK]

Hint: Array loops start at 0 and run while less than length [OK]

Common Mistakes:

• Starting loop at 1 instead of 0
• Using <= instead of < causing index errors
• Confusing array length with last index

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

const arr = [4, 7, 1, 9];
const target = 1;
let index = -1;
for (let i = 0; i < arr.length; i++) {
  if (arr[i] === target) {
    index = i;
    break;
  }
}
console.log(index);

medium

A. 1

B. -1

C. 2

D. 3

Solution

1. Step 1: Trace the loop and compare elements

   Check arr[0]=4 (not 1), arr[1]=7 (not 1), arr[2]=1 (match found), set index=2 and break loop.

2. Step 2: Output the index variable

   After loop, index is 2, so console.log prints 2.

3. Final Answer:

   2 -> Option C

4. Quick Check:

   Target found at index 2 [OK]

Hint: Stop at first match and print its index [OK]

Common Mistakes:

• Not breaking loop and returning last index
• Confusing index with value
• Assuming index starts at 1

4. Find the error in this linear search code snippet and choose the fix:

const arr = [5, 3, 8];
const target = 3;
let index = -1;
for (let i = 0; i <= arr.length; i++) {
  if (arr[i] === target) {
    index = i;
    break;
  }
}
console.log(index);

medium

A. Change loop condition to i < arr.length

B. Initialize index to 0 instead of -1

C. Remove the break statement

D. Change target to 5

Solution

1. Step 1: Identify loop boundary error

   The loop uses i <= arr.length, which causes i to reach arr.length, an invalid index (out of bounds).

2. Step 2: Fix loop condition to prevent out-of-bounds

   Changing condition to i < arr.length ensures i stays within valid indices 0 to length-1.

3. Final Answer:

   Change loop condition to i < arr.length -> Option A

4. Quick Check:

   Loop must run while i < length [OK]

Hint: Use < not <= for array index loops [OK]

Common Mistakes:

• Using <= causing runtime error
• Changing unrelated variables
• Removing break causing unnecessary iterations

5. You want to find the last occurrence of a target number in an array using linear search. Which modification to this code will achieve that?

const arr = [2, 5, 3, 5, 7];
const target = 5;
let index = -1;
for (let i = 0; i < arr.length; i++) {
  if (arr[i] === target) {
    index = i;
    break;
  }
}
console.log(index);

hard

A. Sort the array before searching

B. Add break after setting index to stop at first occurrence

C. Start loop from the end and break at first match

D. Remove the break statement to continue searching all elements

Solution

1. Step 1: Understand current code behavior

   The loop checks all elements; each time target matches, index updates to current i, so last match index remains after loop.

2. Step 2: Identify why removing break helps

   If break was present, loop would stop at first match. Removing break ensures full array is checked for last occurrence.

3. Final Answer:

   Remove the break statement to continue searching all elements -> Option D

4. Quick Check:

   Keep searching to find last occurrence [OK]

Hint: To find last occurrence, check all elements without break [OK]

Common Mistakes:

• Adding break stops search too early
• Sorting changes original order and index meaning
• Starting loop from end requires different logic