Big O Complexities
Time Complexity Analysis
- Access: O(1) - Direct access using indices
- Traversal: O(D × N × M) - Must visit all elements
- Insertion/Deletion: Not applicable (fixed size)
Space Complexity
- Memory usage: O(D × N × M) - Proportional to total elements
- Cache performance: Better for sequential access patterns
// Example: Calculating memory usage
int depth = 10, rows = 20, columns = 30;
int totalElements = depth * rows * columns; // 6,000 elements
int memoryUsage = totalElements * 4; // 24,000 bytes for int array