Precourse 2

[HarshaReddyVardhan]

No description provided.

[super30admin]

The student has demonstrated a strong understanding of fundamental algorithms across multiple files. Here's a detailed evaluation:

1. Exercise_1 (Binary Search - C++ and Java):

   • Correctness: Both implementations correctly implement recursive binary search.
   • Time Complexity: Correctly identified as O(log n).
   • Space Complexity: Correctly noted as O(log n) due to recursion stack.
   • Code Quality: Clean, well-structured code with proper comments.
   • Improvement: Could mention that iterative approach would reduce space to O(1).

2. Exercise_2 (QuickSort - C++):

   • Correctness: Proper implementation of QuickSort with correct partitioning.
   • Time Complexity: Should be noted as O(n log n) average case, O(n²) worst case.
   • Space Complexity: O(log n) due to recursion stack.
   • Code Quality: Good structure, but could benefit from more comments explaining the partition logic.

3. Exercise_3 (Middle of Linked List - C++):

   • Correctness: Correct implementation of fast/slow pointer technique.
   • Time Complexity: O(n) as it traverses the list once.
   • Space Complexity: O(1) - excellent constant space usage.
   • Code Quality: Very clean and efficient implementation.

4. Exercise_4 (MergeSort - Java):

   • Correctness: Proper implementation of merge sort.
   • Time Complexity: Correct O(n log n) in all cases.
   • Space Complexity: O(n) for temporary arrays - should be noted.
   • Code Quality: Well-structured with good separation of merge logic.

5. Exercise_5 (Iterative QuickSort - C++):

   • Correctness: Correct implementation using stack.
   • Time Complexity: Same as recursive version (O(n log n) avg, O(n²) worst).
   • Space Complexity: O(log n) for stack - better than recursive version's worst case.
   • Code Quality: Good use of stack, but could benefit from more comments.

General Strengths:

• Consistent implementation across languages
• Good understanding of algorithm complexities
• Proper use of standard techniques (fast/slow pointers, partitioning, etc.)

Areas for Improvement:

• Could add more comments explaining algorithm steps
• Should mention edge cases (empty arrays, single element cases)
• Time/Space complexity analysis could be more detailed for some exercises
• Could consider adding input validation