Completed DP-1

[ashritha0806]

No description provided.

[super30admin]

The Coin Change (coin_change.py)

Your solution is excellent! You implemented the dynamic programming approach correctly, which is the standard and efficient way to solve this problem. Here are some strengths and suggestions:

Strengths:

• You correctly identified the time and space complexity.
• The code is concise and efficient.
• You handled edge cases properly (like amount=0).

Areas for Improvement:

• While the code is readable, consider adding more inline comments to explain each step, especially for complex problems. For example, you could explain why you initialize dp with amount + 1 (as a large number representing infinity) and why dp[0] = 0.
• The variable names a and c are a bit short. While they are acceptable in this context, using more descriptive names like current_amount and coin might make the code even clearer.
• You mentioned that converting recursive to DP was hard. It might be helpful to practice more DP problems to build intuition. The recursive solution with memoization is also a valid approach, but the iterative DP solution you implemented is often preferred for its efficiency.

Overall, great job!

VERDICT: PASS

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House Robber (house_robber.py)

Strengths:

• The solution is efficient with O(n) time and O(1) space.
• The code is clean, concise, and easy to understand.
• Edge cases are handled correctly.

Areas for improvement:

• The variable names option1 and option2 could be more descriptive. For example, prev (or robPrev) for the maximum loot from the previous house and prev2 (or robPrev2) for the maximum loot from two houses ago might make the code more intuitive.
• The comment mentions "swap and return option1", but the code does not actually use a swap operation. Instead, it updates the variables in a way that shifts the values. The comment could be clarified to say "update the variables to move forward" or similar.
• Although the solution is optimal, it might be helpful to note that this is a standard dynamic programming approach with state compression, which is a common technique for such problems.

Overall, this is an excellent solution.

VERDICT: PASS