An inversion is a pair of elements where the first element is greater than the second element, but the first element appears before the second in the array.
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beginner
Why do we count inversions in an array?
Counting inversions helps measure how far the array is from being sorted. More inversions mean the array is less sorted.
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intermediate
Which algorithm efficiently counts inversions in O(n log n) time?
The Merge Sort based algorithm counts inversions efficiently by counting during the merge step.
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intermediate
How does the merge step in merge sort help count inversions?
During merging, if an element from the right half is placed before an element from the left half, it means all remaining elements in the left half form inversions with that element.
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beginner
What is the time complexity of the naive approach to count inversions?
The naive approach checks all pairs and has a time complexity of O(n²), which is slow for large arrays.
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What does an inversion in an array represent?
AA pair where the first element is greater and appears before the second
BA pair where the first element is smaller and appears after the second
CTwo equal elements next to each other
DAny two elements in the array
✗ Incorrect
An inversion is when a bigger number comes before a smaller number in the array.
Which method counts inversions efficiently?
ABubble Sort
BInsertion Sort
CMerge Sort
DSelection Sort
✗ Incorrect
Merge Sort counts inversions during the merge step in O(n log n) time.
What is the time complexity of the naive inversion counting method?
AO(n²)
BO(n)
CO(n log n)
DO(log n)
✗ Incorrect
The naive method checks all pairs, leading to O(n²) time.
During merge sort, when do we count inversions?
AAfter sorting completes
BWhen splitting the array
CBefore sorting starts
DWhen merging two sorted halves
✗ Incorrect
Inversions are counted during the merge step when elements from the right half come before left half elements.
If an array is already sorted, how many inversions does it have?
AMaximum possible
BZero
COne
DDepends on array size
✗ Incorrect
A sorted array has no inversions because no bigger element appears before a smaller one.
Explain how merge sort can be used to count inversions in an array.
Think about how merging two sorted lists can reveal inversions.
You got /5 concepts.
Describe the difference between the naive and efficient methods to count inversions.
Compare time complexity and approach.
You got /4 concepts.
Practice
(1/5)
1. What does the term inversion mean in the context of an array?
easy
A. A pair of elements where the first is smaller than the second and appears before it
B. A pair of elements where the first is greater than the second and appears before it
C. The total number of elements in the array
D. The sum of all elements in the array
Solution
Step 1: Understand the definition of inversion
An inversion is when a larger number appears before a smaller number in the array.
Step 2: Compare options with the definition
A pair of elements where the first is greater than the second and appears before it correctly describes this as a pair where the first element is greater and comes before the second.
Final Answer:
A pair of elements where the first is greater than the second and appears before it -> Option B
Quick Check:
Inversion = pair (i, j) with i < j and arr[i] > arr[j] [OK]
Hint: Inversion means bigger number comes before smaller one [OK]
Common Mistakes:
Confusing inversion with sorted order
Thinking inversion counts pairs where first is smaller
Mixing inversion with total elements count
2. Which of the following JavaScript code snippets correctly initializes a variable to count inversions?
easy
A. int count = 0;
B. count := 0;
C. let count = 0;
D. var count == 0;
Solution
Step 1: Identify correct JavaScript syntax for variable initialization
JavaScript uses let or var with = for assignment.
Step 2: Check each option
let count = 0; uses let count = 0; which is correct. count := 0; uses ':=' which is not JavaScript. int count = 0; uses 'int' which is not JavaScript. var count == 0; uses '==' which is a comparison, not assignment.
Final Answer:
let count = 0; -> Option C
Quick Check:
Variable assignment in JS uses =, not := or == [OK]
Hint: Use let or var with = for assignment in JavaScript [OK]
Common Mistakes:
Using ':=' instead of '='
Using 'int' keyword from other languages
Using '==' instead of '=' for assignment
3. What is the number of inversions in the array [2, 4, 1, 3, 5]?
medium
A. 3
B. 2
C. 4
D. 5
Solution
Step 1: Identify all inversion pairs in the array
Check pairs where first element is greater and appears before second: - (2,1), (4,1), (4,3)
Step 2: Count the total inversions
There are 3 such pairs.
Final Answer:
3 -> Option A
Quick Check:
Pairs (2,1), (4,1), (4,3) = 3 inversions [OK]
Hint: Count pairs where earlier number is bigger than later [OK]
Common Mistakes:
Counting pairs where first is smaller
Missing some inversion pairs
Counting total pairs instead of inversions
4. Consider this code snippet to count inversions:
function countInversions(arr) {
let count = 0;
for (let i = 0; i < arr.length; i++) {
for (let j = i + 1; j < arr.length; j++) {
if (arr[i] < arr[j]) {
count++;
}
}
}
return count;
}
What is the error in this code?
medium
A. The function should return arr.length instead of count
B. The inner loop should start from j = 0
C. The count variable should be initialized inside the loops
D. The comparison should be arr[i] > arr[j] to count inversions
Solution
Step 1: Understand the inversion condition
An inversion is when arr[i] > arr[j] and i < j, but code checks arr[i] < arr[j].
Step 2: Identify the fix
The comparison should be changed to arr[i] > arr[j] to count inversions correctly.
Final Answer:
The comparison should be arr[i] > arr[j] to count inversions -> Option D
Quick Check:
Inversion means first element bigger, so use > [OK]
Hint: Use > to detect inversion pairs, not < [OK]
Common Mistakes:
Using < instead of > in condition
Starting inner loop from 0 instead of i+1
Resetting count inside loops
5. Given the array [8, 4, 2, 1], which approach will efficiently count the number of inversions?
hard
A. Sort the array and count inversions during merge (O(n log n) time)
B. Count inversions by summing all elements
C. Use a nested loop to compare all pairs (O(n²) time)
D. Use a hash map to store counts of elements
Solution
Step 1: Understand the problem size and efficiency
For larger arrays, nested loops (O(n²)) are slow. Merge sort based counting is efficient (O(n log n)).
Step 2: Identify the best approach
Counting inversions during merge sort is a classic efficient method.
Final Answer:
Sort the array and count inversions during merge (O(n log n) time) -> Option A