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DSA Javascriptprogramming~10 mins

Quick Sort as Divide and Conquer in DSA Javascript - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to choose the pivot element as the last item in the array.

DSA Javascript
function quickSort(arr) {
  if (arr.length <= 1) return arr;
  const pivot = arr[1];
  // rest of the code
}
Drag options to blanks, or click blank then click option'
A[arr.length - 1]
B[0]
C[Math.floor(arr.length / 2)]
D[1]
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing the first element as pivot instead of the last.
Using an index out of bounds like arr[arr.length].
2fill in blank
medium

Complete the code to partition the array by comparing elements to the pivot.

DSA Javascript
function partition(arr, low, high) {
  const pivot = arr[high];
  let i = low - 1;
  for (let j = low; j < high; j++) {
    if (arr[j] [1] pivot) {
      i++;
      [arr[i], arr[j]] = [arr[j], arr[i]];
    }
  }
  [arr[i + 1], arr[high]] = [arr[high], arr[i + 1]];
  return i + 1;
}
Drag options to blanks, or click blank then click option'
A<=
B>
C==
D>=
Attempts:
3 left
💡 Hint
Common Mistakes
Using > or >= which reverses the partition logic.
Using == which only matches equal elements.
3fill in blank
hard

Fix the error in the recursive quickSort call to sort left and right parts.

DSA Javascript
function quickSort(arr, low = 0, high = arr.length - 1) {
  if (low < high) {
    const pi = partition(arr, low, high);
    quickSort(arr, low, [1]);
    quickSort(arr, pi + 1, high);
  }
  return arr;
}
Drag options to blanks, or click blank then click option'
Api + 1
Bhigh
Cpi - 1
Dpi
Attempts:
3 left
💡 Hint
Common Mistakes
Using pi instead of pi - 1 causes infinite recursion.
Using pi + 1 sorts the right side twice.
4fill in blank
hard

Fill both blanks to complete the partition function's swap logic correctly.

DSA Javascript
function partition(arr, low, high) {
  const pivot = arr[high];
  let i = low - 1;
  for (let j = low; j < high; j++) {
    if (arr[j] <= pivot) {
      i++;
      [arr[[1]], arr[[2]]] = [arr[[2]], arr[[1]]];
    }
  }
  [arr[i + 1], arr[high]] = [arr[high], arr[i + 1]];
  return i + 1;
}
Drag options to blanks, or click blank then click option'
Ai
Bj
Clow
Dhigh
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping wrong indices causes incorrect partitioning.
Using high or low instead of i and j.
5fill in blank
hard

Fill both blanks to complete the quickSort function with default parameters and recursive calls.

DSA Javascript
function quickSort(arr, [1] = 0, [2] = arr.length - 1) {
  if ([1] < [2]) {
    const pi = partition(arr, [1], [2]);
    quickSort(arr, [1], pi - 1);
    quickSort(arr, pi + 1, [2]);
  }
  return arr;
}
Drag options to blanks, or click blank then click option'
Alow
Bhigh
Cpi
Dpivot
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong parameter names causes confusion.
Mixing up pi with parameters.

Practice

(1/5)
1. What is the main idea behind the Quick Sort algorithm in the divide and conquer approach?
easy
A. Divide the array into smaller parts, sort them, and combine the results
B. Sort the array by repeatedly swapping adjacent elements
C. Use extra space to merge two sorted arrays
D. Sort the array by selecting the smallest element each time

Solution

  1. Step 1: Understand divide and conquer in Quick Sort

    Quick Sort divides the array into parts based on a pivot, sorts each part recursively.
  2. Step 2: Compare with other sorting methods

    Unlike bubble or selection sort, Quick Sort uses division and recursion, not just swapping or selecting smallest.
  3. Final Answer:

    Divide the array into smaller parts, sort them, and combine the results -> Option A
  4. Quick Check:

    Quick Sort = Divide and conquer [OK]
Hint: Remember: divide, sort parts, then combine [OK]
Common Mistakes:
  • Confusing Quick Sort with bubble or selection sort
  • Thinking Quick Sort merges arrays like merge sort
  • Ignoring the pivot selection step
2. Which of the following is the correct syntax to choose a pivot element in a Quick Sort function in JavaScript?
easy
A. const pivot = arr.push();
B. const pivot = arr.length;
C. const pivot = arr.sort();
D. const pivot = arr[0];

Solution

  1. Step 1: Identify how to select pivot in Quick Sort

    The pivot is usually an element from the array, often the first or last element.
  2. Step 2: Check each option's correctness

    const pivot = arr[0]; selects the first element as pivot correctly. Others use wrong methods or properties.
  3. Final Answer:

    const pivot = arr[0]; -> Option D
  4. Quick Check:

    Pivot selection = arr[0] [OK]
Hint: Pivot is an element, not array length or method result [OK]
Common Mistakes:
  • Using array length as pivot
  • Calling array methods instead of accessing element
  • Confusing pivot with sorted array
3. What will be the output of the following JavaScript Quick Sort partition step?
const arr = [4, 2, 7, 1];
const pivot = arr[0]; // 4
let left = [];
let right = [];
for(let i = 1; i < arr.length; i++) {
  if(arr[i] <= pivot) left.push(arr[i]);
  else right.push(arr[i]);
}
console.log(left);
console.log(right);
medium
A. [4, 2] and [7, 1]
B. [7] and [2, 1]
C. [2, 1] and [7]
D. [1, 2, 4] and []

Solution

  1. Step 1: Identify pivot and partition logic

    Pivot is 4. Elements less or equal to 4 go to left, others to right.
  2. Step 2: Partition the array

    Elements: 2 <= 4 -> left, 7 > 4 -> right, 1 <= 4 -> left. So left = [2,1], right = [7].
  3. Final Answer:

    [2, 1] and [7] -> Option C
  4. Quick Check:

    Partition by pivot 4 = [2,1] left, [7] right [OK]
Hint: Compare each element to pivot, separate into left/right [OK]
Common Mistakes:
  • Including pivot in left or right arrays
  • Mixing up less than and greater than conditions
  • Forgetting to start loop from index 1
4. Identify the error in this Quick Sort partition code snippet:
function partition(arr) {
  const pivot = arr[0];
  let left = [];
  let right = [];
  for(let i = 0; i < arr.length; i++) {
    if(arr[i] < pivot) left.push(arr[i]);
    else right.push(arr[i]);
  }
  return [...left, pivot, ...right];
}
medium
A. Use arr[i] <= pivot in condition instead of <
B. Loop should start from 1 to avoid including pivot twice
C. Pivot should be last element, not first
D. Return statement should not use spread operator

Solution

  1. Step 1: Analyze loop range and pivot usage

    The loop starts at 0, so pivot element arr[0] is included in left or right arrays again.
  2. Step 2: Correct loop start index

    Loop should start at 1 to skip pivot element and avoid duplication.
  3. Final Answer:

    Loop should start from 1 to avoid including pivot twice -> Option B
  4. Quick Check:

    Loop index = 1 to exclude pivot [OK]
Hint: Start loop after pivot index to avoid duplicates [OK]
Common Mistakes:
  • Starting loop at 0 causing pivot duplication
  • Changing pivot position unnecessarily
  • Misunderstanding spread operator usage
5. Given the array [3, 6, 8, 10, 1, 2, 1], what is the correct sorted array after applying Quick Sort fully?
hard
A. [1, 1, 2, 3, 6, 8, 10]
B. [1, 2, 3, 6, 8, 10]
C. [3, 6, 8, 10, 1, 2, 1]
D. [10, 8, 6, 3, 2, 1, 1]

Solution

  1. Step 1: Understand Quick Sort fully sorts the array

    Quick Sort recursively partitions and sorts all parts until fully sorted.
  2. Step 2: Sort the array manually

    Sorted array is [1, 1, 2, 3, 6, 8, 10], including duplicates in order.
  3. Final Answer:

    [1, 1, 2, 3, 6, 8, 10] -> Option A
  4. Quick Check:

    Quick Sort output = sorted array ascending [OK]
Hint: Quick Sort returns fully sorted array ascending [OK]
Common Mistakes:
  • Ignoring duplicate elements
  • Confusing sorted with original array
  • Thinking Quick Sort reverses array
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