Completed PreCourse 2

[neha-pednekar]

No description provided.

[super30admin]

1. Exercise_1.java (Binary Search):

   • Correctness: The binary search implementation is mostly correct but has a bug where it can get stuck in an infinite loop when searching for elements not present in the array. The condition should be while (l <= r) instead of while (l < r).
   • Time Complexity: Correctly identified as O(log n).
   • Space Complexity: Correctly identified as O(1).
   • Code Quality: The code is clean and well-structured. The variable names are appropriate.
   • Efficiency: The infinite loop issue needs to be fixed for the solution to be correct.

2. Exercise_2.java (QuickSort):

   • Correctness: The implementation is correct and follows the standard QuickSort algorithm.
   • Time Complexity: Correctly identified as O(n log n) average case.
   • Space Complexity: Correctly identified as O(n) considering recursive stack space.
   • Code Quality: The code is well-organized and follows good practices. The partition method is implemented efficiently.
   • Efficiency: The implementation is optimal for QuickSort.

3. Exercise_3.java (Linked List Middle Element):

   • Correctness: The solution correctly finds the middle element using the fast/slow pointer approach.
   • Time Complexity: Correctly identified as O(n).
   • Space Complexity: Correctly identified as O(1).
   • Code Quality: The code is clean and well-structured. The variable names are appropriate.
   • Efficiency: The implementation is optimal for this problem.

4. Exercise_4.java (MergeSort):

   • Correctness: The implementation is correct and follows the standard MergeSort algorithm.
   • Time Complexity: Correctly identified as O(n log n).
   • Space Complexity: Correctly identified as O(n) for the temporary array.
   • Code Quality: The code is well-organized and follows good practices. The merge method is implemented efficiently.
   • Efficiency: The implementation is optimal for MergeSort.

5. Exercise_5.java (Iterative QuickSort):

   • Correctness: The implementation is correct and follows the standard iterative QuickSort approach using a stack.
   • Time Complexity: Correctly identified as O(n log n) average case.
   • Space Complexity: Correctly identified as O(n) for the stack.
   • Code Quality: The code is clean and well-structured. The use of a stack is implemented correctly.
   • Efficiency: The implementation is optimal for iterative QuickSort.

Overall, the solutions are well-written and demonstrate a good understanding of the algorithms. The main issue is the binary search implementation which needs to be fixed to handle all cases correctly. The other implementations are correct and efficient.