I've spent a while on the following algorithm:
You are given coins of different denominations and a total amount of money amount. Write a function to compute the fewest number of coins that you need to make up that amount. If that amount of money cannot be made up by any combination of the coins, return -1.
Example 1: coins = [1, 2, 5], amount = 11 return 3 (11 = 5 + 5 + 1)
Example 2: coins = [2], amount = 3 return -1.
Note: You may assume that you have an infinite number of each kind of coin.
This is likely not the most efficient way to solve the problem, but I figured I can solve it by trying every coin and launching a new function per attempt, where the new function call has the updated amount. This would launch N function calls per coin... but I'll deal with that later.
Right now I'm dealing with the following issue: often when making recursive calls, I'm unable to properly code in a base case. For example, in this problem we have to return -1 if the amount of money cannot be made up by any combination of the coins. However, I also need to count up the fewest number of coins. So I figured I'd take a min variable and call 1 + new_func_call.
However, when this new_func_call ends up not working out, it passes up a -1 to the recursive call stack, which ends up making min zero instead. I'm not sure how to adjust this-- I've tried varying my code in different ways but perhaps I'm having a conceptual issue. I know why it's happening-- just don't know how to deal with it.
Sample input:
Coins: [2]
Amount: 3
My output: 0
Correct output: -1
Code:
def coin_change(coins, amount)
coin_count(coins, amount, coins.min)
end
def coin_count(coins, amount, min_coin)
with_coin = min = 1.0/0
return 0 if amount == 0
return -1 if amount < min_coin
i = 0
while i < coins.length
with_coin = 1 + coin_count(coins, amount - coins[i], min) if amount - coins[i] >= 0
min = [min, with_coin].min
i += 1
end
min
end