Python Coin Change Dynamic Programming

问题

I am currently trying to implement dynamic programming in Python, but I don't know how to setup the backtracking portion so that it does not repeat permutations. For example, an input would be (6, [1,5]) and the expected output should be 2 because there are 2 possible ways to arrange 1 and 5 so that their sum is equivalent to 6. Those combinations are {1,1,1,1,1,1} and {1,5} but the way my program currently works, it accounts for the combinations displayed above and the combination {5,1}. This causes the output to be 3 which is not what I wanted. So my question is "How do I prevent from repeating permutations?". My current code is shown below.

    import collections as c

    class DynamicProgram(object):
        def __init__(self):
            self.fib_memo = {}
            # nested dictionary, collections.defaultdict works better than a regular nested dictionary
            self.coin_change_memo = c.defaultdict(dict)
            self.__dict__.update({x:k for x, k in locals().items() if x != 'self'})
        def coin_change(self, n, coin_array):
            # check cache
            if n in self.coin_change_memo:
                if len(coin_array) in self.coin_change_memo[n]:
            return [n][len(coin_array)]

            # base cases
            if n < 0: return 0
            elif n == 1 or n == 0: return 1

            result = 0
            i = 0

            # backtracking (the backbone of how this function works)
            while i <= n and i < len(coin_array):
                result += self.coin_change(n-coin_array[i], coin_array)
                i += 1

            # append to cache
            self.coin_change_memo[n][len(coin_array)] = result

            # return result
            return result

回答1:

One of the way of avoiding permutation is to use the numbers in "non-decreasing" order. By doing so you will never add answer for [5 1] because it is not in "non-decreasing" order.And [1 5] will be added as it is in "non-decreasing" order.

So the change in your code will be if you fix to use the ith number in sorted order than you will never ever use the number which is strictly lower than this.

The code change will be as described in Suparshva's answer with initial list of numbers sorted.

回答2:

Quick fix would be:

result += self.coin_change(n-coin_array[i], coin_array[i:]) # notice coin_array[i:] instead of coin_array

But you want to avoid this as each time you will be creating a new list.

Better fix would be:

Simply add a parameter lastUsedCoinIndex in the function. Then always use coins with index >= lastUsedCoinIndex from coin array. This will ensure that the solutions are distinct.

Also you will have to make changes in your memo state. You are presently storing sum n and size of array(size of array is not changing in your provided implementation unlike the quick fix I provided, so its of no use there!!) together as a state for memo. Now you will have n and lastUsedCoinIndex, together determining a memo state.

EDIT:

Your function would look like:

def coin_change(self,coin_array,n,lastUsedCoinIndex):

Here, the only variables changing will be n and lastUsedCoinIndex. So you can also modify your constructor such that it takes coin_array as input and then you will access the coin_array initialized by constructor through self.coin_array. Then the function would become simply:

def coin_change(self,n,lastUsedCoinIndex):

来源：https://stackoverflow.com/questions/46257659/python-coin-change-dynamic-programming

标签

python

dynamic-programming

coin-change