Answer :
The constraints are N <= 5000 and M <= 250000. For the given sample input (N=4, M=80), there are two ways to buy the $80 item using 4 cards: (10+10+30+30) and (10+10+10+50).
To find the number of different ways Jugg can buy the item without leaving any remaining balance on the gift cards, we need to implement a dynamic programming approach. The dynamic programming table can be initialized with zeros, and then the number of ways to achieve each value from 0 to M using the given denominations can be calculated iteratively. Here's a summary of the steps:
Read the input values N and M.
Initialize a dynamic programming table of size (M+1) with all values set to zero.
Set dp[0] to 1, as there is one way to achieve a total of 0 (by not using any gift cards).
For each denomination (e.g., $10, $30, $50), iterate over the dp table and update the number of ways for each value that can be achieved using that denomination. The update formula is dp[i] += dp[i - denomination].
Finally, the value in dp[M] represents the number of different ways Jugg can buy the item using the exact number of cards required.
For the given sample input (N=4, M=80), there are two ways to buy the $80 item using 4 cards: (10+10+30+30) and (10+10+10+50).
The constraints for N are: 30%: N <= 100, 60%: N <= 1000, and 100%: N <= 5000. For M, it should be <= 250000.
To learn more about constraints visit :
https://brainly.com/question/14309521
#SPJ11