PreCourse-2 Completed

[sree0018]

No description provided.

[super30admin]

The student has implemented several classic algorithms correctly:

1. BinarySearch (Exercise_1.java):

• Correct implementation of binary search with O(log n) time complexity and O(1) space complexity
• Good handling of edge cases (element not found)
• Could improve by making the method static since it doesn't use instance variables

2. QuickSort (Exercise_2.java):

• Correct implementation of quicksort with O(n log n) average time complexity and O(log n) space complexity (due to recursion)
• Good partitioning logic and recursive implementation
• Could add comments explaining the pivot selection strategy

3. LinkedList Middle Element (Exercise_3.java):

• Correct implementation using fast and slow pointers with O(n) time and O(1) space
• Handles empty list case properly
• Could improve by adding null check for head.next in printMiddle()

4. MergeSort (Exercise_4.java):

• Correct implementation with O(n log n) time and O(n) space complexity
• Good merging logic with proper handling of remaining elements
• Could optimize by reusing temporary arrays

5. Iterative QuickSort (Exercise_5.java):

• Correct iterative implementation using stack
• Interesting XOR-based swap implementation (though less readable than standard swap)
• Good analysis of time/space complexity in comments
• Could improve stack implementation by using custom stack class for primitive types

General strengths:

• All implementations follow standard algorithmic approaches
• Good use of comments explaining key steps
• Proper handling of edge cases
• Consistent code style

Areas for improvement:

• Some methods could be static since they don't use instance variables
• Could add more test cases for edge scenarios
• Some variable names could be more descriptive (like 'ob' for object instances)
• Could add more detailed comments about time/space complexity tradeoffs