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Algorithm Homework 6
姓名:阙建明
学号:1901213139
作业要求:
Leetcode: 5, 64, 120
题解:
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Leetcode problem 5
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算法思路:
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使用动态规划的思想;
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状态转移方程如下:
P(i, j) = \left\{ \begin{array}{ll} True & \textrm{if $P(i + 1, j - 1) $ and $ S_i == S_j $}\\ False & \textrm{其它}\\ \end{array} \right. -
首先判断长度为1的子串,再判断长度为2的子串,再判断长度为3的子串,以此类推。
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Leetcode提交结果:
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代码:
class Solution: def longestPalindrome(self, s: str) -> str: arr = [[False] * len(s) for i in range(len(s))] for i in range(len(s)): arr[i][i] = True maxLen, maxStrStart, maxStrEnd = 1, 0, 1 for span in range(1, len(s)): left, right = 0, span while right < len(s): arr[left][right] = True if s[left] == s[right] and (span == 1 or arr[left + 1][right - 1]) else False if arr[left][right] and right - left + 1 > maxLen: maxLen, maxStrStart, maxStrEnd = right - left + 1, left, right + 1 left, right = left + 1, right + 1 return s[maxStrStart: maxStrEnd]
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Leetcode problem 64
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算法思路:
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采用动态规划的思想,自右下角向左上脚遍历。
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首先将最下面一排的路径开销自右往左以此叠加,把最右边一排的路径开销自下往上以此叠加,接着其它情况使用与下述状态转换方程:
P(i, j) = \left\{ \begin{array}{ll} P(i, j) + P(i + 1, j) & \textrm{if $ P(i, j + 1) >= P(j + 1) $}\\ P(i, j) + P(i, j + 1) & \textrm{if $ P(i, j + 1) < P(j + 1) $}\\ \end{array} \right. -
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Leetcode提交结果:
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代码:
class Solution: def minPathSum(self, grid: List[List[int]]) -> int: rowNum, colNum = len(grid), len(grid[0]) for col in range(colNum - 2, -1, -1): grid[rowNum - 1][col] = grid[rowNum - 1][col] + grid[rowNum - 1][col + 1] for row in range(rowNum - 2, -1, -1): grid[row][colNum - 1] = grid[row][colNum - 1] + grid[row + 1][colNum - 1] for col in range(colNum - 2, -1, -1): for row in range(rowNum - 2, -1, -1): grid[row][col] = grid[row][col] + min(grid[row + 1][col], grid[row][col + 1]) return grid[0][0]
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Leetcode problem 120
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算法思路:
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用动态规划的思想,自底向上一次计算到当前访问节点到叶子节点的最短路径;
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状态转移方程如下:
P(row, index) = \left\{ \begin{array}{ll} P(row, index) & \textrm{if $ row == len(triangle) - 1 $}\\ P(row, index) + min(P(row + 1, index), P(row + 1, index + 1))& \textrm{if $ P(i, j + 1) < P(j + 1) $}\\ \end{array} \right. -
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Leetcode提交结果:
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代码:
class Solution: def minimumTotal(self, triangle: List[List[int]]) -> int: for row in range(len(triangle) - 2, -1, -1): for index in range(len(triangle[row])): triangle[row][index] = triangle[row][index] + min(triangle[row + 1][index], triangle[row + 1][index + 1]) return triangle[0][0]
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