completed dp-1

[Keerthi0910]

No description provided.

[super30admin]

Coin Change (Problem1.java)

Strengths:

1. Correct implementation of the DP approach for coin change.
2. Significantly better time complexity than the reference solution.
3. Clear comments explaining the approach.
4. Proper handling of edge cases (amount = 0, impossible amounts).

Areas for Improvement:

1. Remove the unused minCoins field - it's declared but never used.
2. Consider optimizing space complexity by using a 1D DP array: dp[j] = min(dp[j], dp[j-coins[i]] + 1) for each coin. This would reduce space from O(n*m) to O(m).
3. Add more comments explaining the DP transition logic for better readability.
4. Consider edge case handling: what if coins is empty? (Though constraints say coins.length >= 1, defensive programming is good practice.)

VERDICT: PASS

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House Robber (Problem2.java)

Strengths:

1. Excellent time complexity improvement over the reference solution (O(n) vs O(2^n))
2. Correct handling of edge cases (arrays of length 1 and 2)
3. Clear variable naming and logical structure
4. The DP recurrence relation is correctly implemented

Areas for Improvement:

1. Remove dead code: The int maxTotal = Integer.MIN_VALUE; field is declared but never used. This should be removed as it adds confusion.
2. Space optimization: The dp array is unnecessary since you only need the previous two values. You could simplify to O(1) space:

   int prev2 = nums[0];
   int prev1 = Math.max(nums[0], nums[1]);
   for(int i = 2; i < nums.length; i++) {
       int curr = Math.max(prev1, prev2 + nums[i]);
       prev2 = prev1;
       prev1 = curr;
   }
   return prev1;

3. Comments: The header comment could be more descriptive about the actual algorithm being used.

VERDICT: PASS