解题思路:
- 状态转移,当前点的最小路径和=min(上一行同列,上一行前一列)的最近路径的最小值+当前点的value:
dp[i][j] = min(dp[i-1][j], dp[i-1][j-1]) + triangle[i][j]
- 需初始化三角形的两侧,两侧的dp值由路径上的triangle累加即可;
- 也可以自底向上遍历。
Python3代码
# 自顶向下遍历
class Solution:
def minimumTotal(self, triangle: List[List[int]]) -> int:
dp = [[0]*len(triangle[i]) for i in range(len(triangle))]
dp[0][0]= triangle[0][0]
for i in range(1, len(triangle)):
dp[i][0] = triangle[i][0] + dp[i-1][0]
dp[i][-1] = triangle[i][-1] + dp[i-1][-1]
for i in range(1, len(triangle)):
for j in range(1, len(triangle[i])-1):
dp[i][j] = min(dp[i-1][j], dp[i-1][j-1]) + triangle[i][j]
return min(dp[-1])
# 自底向上遍历
class Solution:
def minimumTotal(self, triangle: List[List[int]]) -> int:
dp = [[0]*len(triangle[i]) for i in range(len(triangle))]
dp[-1]=triangle[-1]
for i in range(len(triangle)-2, -1, -1):
for j in range(0, i+1):
dp[i][j] = triangle[i][j] + min(dp[i+1][j], dp[i+1][j+1])
return dp[0][0]
网友评论