以pythonic方式实现递归

时间:2018-08-08 12:01:29

标签: python python-3.x algorithm recursion dynamic-programming

我有一个递归:

C(n) = min{
  C(n/3) + 1 if n ⋮ 3,
  C(n/2) + 1 if n ⋮ 2,
  C(n-1) + 1
}

基本情况是

C(n) = 0 for n <= 1

如何以pythonic方式实现此递归? 这是试图解决我能够成功解决的给定问题的尝试,但我觉得也有必要实施递归解决方案。

Problem 1: Primitive Calculator
You are given a primitive calculator that can perform the following three operations with the current number x: multiply x by 2, multiply x by 3, or add 1 to x. Your goal is given a positive integer n, find the minimum number of operations needed to obtain the number n starting from the number 1.

Problem Description

Task. Given an integer n, compute the minimum number of operations needed to obtain the number n starting from the number 1.

Output Format. In the first line, output the minimum number k of operations needed to get n from 1. In the second line output a sequence of intermediate numbers. That is, the second line should contain positive integers a0, a2,…, a(k-1) such that a0 =1, a(k-1) =n and for all 0≤i<k-1, ai+1 is equal to either ai + 1, 2 x ai, or 3 x ai. If there are many such sequences, output any one of them.

Sample 1.

Input: 5

Output:

3

1 2 4 5

Explanation:
Here, we first multiply 1 by 2 two times and then add 1 ( ((1 x 2) x 2) + 1). Another possibility is to first multiply by 3 and then add 1 two times. Hence “1 3 4 5” is also a valid output in this case.

Sample 2:

Input: 96234

Output:

14

1 3 9 10 11 22 66 198 594 1782 5346 16038 16039 32078 96234

Explanation:
Again, another valid output in this case is “1 3 9 10 11 33 99 297 891 2673 8019 16038 16039 48117 96234”.

Your goal is to design and implement a dynamic programming solution for this problem. A natural subproblem in this case is the following: C(n) is the minimum number of operations required to obtain n from 1 (using the three primitive operations). How to express C(n) through C(n/3), C(n/2), C(n-1)?

1 个答案:

答案 0 :(得分:3)

def C(n):
    if n <= 1:
        return 0

    m= C(n-1)
    if n % 3 == 0:
        m= min(m, C(n/3))
    if n % 2 == 0:
        m= min(m, C(n/2))
    return m + 1

可能值得考虑记忆。

Cache= {}

def C(n):
    global Cache

    if n <= 1:
        return 0

    try:
        return Cache[n]

    except:
        m= C(n-1)
        if n % 3 == 0:
            m= min(m, C(n/3))
        if n % 2 == 0:
            m= min(m, C(n/2))
        m+= 1
        Cache[n]= m
        return m

我不确定首先测试n <= 1是否更好。