LeetCode | 0509. Fibonacci Number斐波那契数【Python】

LeetCode 0509. Fibonacci Number斐波那契数【Easy】【Python】【动态规划】

Problem

LeetCode

The Fibonacci numbers, commonly denoted F(n) form a sequence, called the Fibonacci sequence, such that each number is the sum of the two preceding ones, starting from 0 and 1. That is,

F(0) = 0,   F(1) = 1
F(N) = F(N - 1) + F(N - 2), for N > 1.

Given N, calculate F(N).

Example 1:

Input: 2
Output: 1
Explanation: F(2) = F(1) + F(0) = 1 + 0 = 1.

Example 2:

Input: 3
Output: 2
Explanation: F(3) = F(2) + F(1) = 1 + 1 = 2.

Example 3:

Input: 4
Output: 3
Explanation: F(4) = F(3) + F(2) = 2 + 1 = 3.

Note:

0 ≤ N ≤ 30.

问题

力扣

斐波那契数,通常用 F(n) 表示,形成的序列称为斐波那契数列。该数列由 0 和 1 开始,后面的每一项数字都是前面两项数字的和。也就是:

F(0) = 0,   F(1) = 1
F(N) = F(N - 1) + F(N - 2), 其中 N > 1.

给定 N,计算 F(N)。

示例 1:

输入:2
输出:1
解释:F(2) = F(1) + F(0) = 1 + 0 = 1.

示例 2:

输入:3
输出:2
解释:F(3) = F(2) + F(1) = 1 + 1 = 2.

示例 3:

输入:4
输出:3
解释:F(4) = F(3) + F(2) = 2 + 1 = 3.

提示:

  • 0 ≤ N ≤ 30

思路

解法一:递归
fib(n) = fib(n - 1) + fib(n - 2)
注意,fib(n)会越界,所以最好是:
fib(n) % 1000000007 = (fib(n - 1) % 1000000007 + fib(n - 2) % 1000000007) % 1000000007
但是因为 Python 中整形数字的大小限制取决计算机的内存(可理解为无限大),因此可不考虑大数越界问题。
Python3代码
class Solution:
    def fib(self, n: int) -> int:
        # solution one: 递归
        if n == 0:
            return 0
        if n == 1:
            return 1
        return (self.fib(n - 1) + self.fib(n - 2)) % 1000000007
解法二:动态规划

时间复杂度: O(n)
空间复杂度: O(1)

Python3代码
class Solution:
    def fib(self, n: int) -> int:
        # solution two: 动态规划
        dp_0, dp_1 = 0, 1
        for _ in range(n):
            dp_0, dp_1 = dp_1, dp_0 + dp_1
        return dp_0 % 1000000007

GitHub链接

Python

posted @ 2020-03-27 20:02  Wonz  阅读(171)  评论(0编辑  收藏  举报