Overview
Cycle Sort is an in-place, unstable sorting algorithm that is particularly useful when write operations are expensive. It is theoretically optimal in terms of the number of memory writes. This implementation is specialized for arrays containing continuous numbers from 1 to n, where each number appears exactly once.Implementation
How It Works
- Identify Cycles: The algorithm works by identifying cycles - groups of elements that need to be rotated to reach their correct positions
- Calculate Position: For continuous numbers 1 to n, the correct position of value v is index v-1
- Swap Elements: If an element is not in its correct position, swap it with the element at its target position
- Move Forward: Only advance to the next index when the current position contains its correct value
- Repeat: Continue until all elements are in their correct positions
This implementation is optimized for a specific case: arrays containing continuous integers from 1 to n. For general-purpose sorting, a different implementation is needed.
Complexity Analysis
Time Complexity
- Best Case: O(n) - when array is already sorted
- Average Case: O(n)
- Worst Case: O(n)
- Linear time in all cases for this variant
Space Complexity
- Space: O(1) - sorts in place
- Writes: O(n) - minimal writes
- Swaps: At most n-1 swaps
Usage Example
Visual Example
Let’s trace through sorting[3, 1, 5, 4, 2]:
Characteristics
Stability
Stability
Cycle Sort is not stable. Equal elements (if they existed in this variant) may not maintain their relative order.
In-Place
In-Place
Yes, Cycle Sort is in-place. It only requires O(1) additional space.
Adaptive
Adaptive
Yes, this variant is adaptive to some degree. Already-sorted elements are quickly recognized and skipped.
Minimal Writes
Minimal Writes
Yes, Cycle Sort performs the minimum number of writes possible - at most n-1 swaps (3n writes) to sort n elements.
When to Use
Cycle Sort is optimal when write operations are expensive or need to be minimized.
- Arrays with continuous integers 1 to n (this implementation)
- Systems where writes are expensive (flash memory, EEPROMs)
- Finding missing/duplicate numbers in sequences
- In-place permutation problems
- When minimizing memory writes is critical
- Arrays where each element is close to its final position
- Need to sort arbitrary data types
- Stability is required
- Array doesn’t contain continuous integers
- Performance is more important than write minimization
- Need a general-purpose sorting algorithm
Performance Insights
Write Operations Analysis
Code Walkthrough
General Cycle Sort
The shown implementation is specialized. Here’s the general algorithm for arbitrary arrays:Related Problems
Common Interview Problems Using This Technique:
- Find Missing Number: Given [1,2,4,5], find missing number (3)
- Find Duplicate Number: Given [1,2,3,3,4], find duplicate (3)
- Find All Duplicates: Given [4,3,2,7,8,2,3,1], find all duplicates
- First Missing Positive: Find smallest missing positive integer
- Set Mismatch: Find number that appears twice and the one missing
Example: Find Missing Number
Comparison with Other Sorts
| Algorithm | Best Case | Average Case | Worst Case | Space | Writes | Use Case |
|---|---|---|---|---|---|---|
| Cycle Sort* | O(n) | O(n) | O(n) | O(1) | ≤ 3n | Continuous integers |
| Cycle Sort (General) | O(n²) | O(n²) | O(n²) | O(1) | ≤ 3n | Minimal writes |
| Quick Sort | O(n log n) | O(n log n) | O(n²) | O(log n) | O(n log n) | General purpose |
| Merge Sort | O(n log n) | O(n log n) | O(n log n) | O(n) | O(n log n) | Stable sort |
| Selection Sort | O(n²) | O(n²) | O(n²) | O(1) | n | Small arrays |
Theoretical Optimality
Why Cycle Sort is Optimal for Writes:Any comparison-based sorting algorithm must perform at least n-1 swaps in the worst case to sort an array where every element is out of place. Since each swap involves 3 writes (using a temporary variable), the minimum number of writes is 3(n-1).Cycle Sort achieves this theoretical minimum, making it optimal for scenarios where write operations are the primary concern.
Real-World Applications
Where Cycle Sort Technique is Used:
- Flash Memory Management: Minimizing writes to extend hardware life
- EEPROM Programming: Where write cycles are limited
- Database Indexing: Reorganizing data with minimal I/O
- Memory-Constrained Systems: In-place sorting with minimal overhead
- Finding Array Anomalies: Missing, duplicate, or misplaced elements
- Permutation Problems: Restoring canonical order efficiently