leetcode120. Triangle
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120. Triangle
Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below.
For example, given the following triangle[ [2], [3,4], [6,5,7], [4,1,8,3]]The minimum path sum from top to bottom is 11 (i.e., 2 + 3 + 5 + 1 = 11).
解法一
自底向上,动态规划
public class Solution { public int minimumTotal(List<List<Integer>> triangle) { if (triangle == null || triangle.size() == 0) { return -1; } if (triangle.get(0) == null || triangle.get(0).size() == 0) { return -1; } // state: f.get(x).get(y) = minimum path value from x,y to bottom int len = triangle.size(); // initail a new list List<List<Integer>> minSum = new ArrayList<>(); List<Integer> temp = null; for (int i = 0; i < len; i++) { temp = new ArrayList<>(); for (int j = 0; j < triangle.get(i).size(); j++) { temp.add(j, 0); } minSum.add(i, temp); } // initial last row for (int j = 0; j < triangle.get(len - 1).size(); j++) { minSum.get(len - 1).set(j, triangle.get(len - 1).get(j)); } // bottom up for (int i = len - 2; i >= 0; i--) { for (int j = 0; j < minSum.get(i).size(); j++) { minSum.get(i).set(j, Math.min(minSum.get(i + 1).get(j), minSum.get(i + 1).get(j + 1)) + triangle.get(i).get(j)); } } return minSum.get(0).get(0); }}
解法二
直接在原list中进行变化。
public class Solution { public int minimumTotal(List<List<Integer>> triangle) { if (triangle == null || triangle.size() == 0) { return -1; } if (triangle.get(0) == null || triangle.get(0).size() == 0) { return -1; } // state: f.get(x).get(y) = minimum path value from x,y to bottom int len = triangle.size(); // bottom up for (int i = len - 2; i >= 0; i--) { for (int j = 0; j <= i; j++) { triangle.get(i).set(j, Math.min(triangle.get(i + 1).get(j), triangle.get(i + 1).get(j + 1)) + triangle.get(i).get(j)); } } return triangle.get(0).get(0); }}
解法三
up bottom,新初始化一个列表。
public class Solution { public int minimumTotal(List<List<Integer>> triangle) { if (triangle == null || triangle.size() == 0) { return -1; } if (triangle.get(0) == null || triangle.get(0).size() == 0) { return -1; } // state: f.get(x).get(y) = minimum path value from x,y to bottom // initial new list int len = triangle.size(); List<List<Integer>> minSum = new ArrayList<>(); List<Integer> temp = null; for (int i = 0; i < len; i++) { temp = new ArrayList<>(); for (int j = 0; j < triangle.get(i).size(); j++) { temp.add(j, 0); } minSum.add(i, temp); } // initial minSum.get(0).set(0, triangle.get(0).get(0)); for (int i = 1; i < len; i++) { minSum.get(i).set(0, minSum.get(i - 1).get(0) + triangle.get(i).get(0)); minSum.get(i).set(i, minSum.get(i - 1).get(i - 1) + triangle.get(i).get(i)); } // up bottom for (int i = 1; i < len; i++) { for (int j = 1; j < i; j++) { minSum.get(i).set(j, Math.min(minSum.get(i - 1).get(j - 1), minSum.get(i - 1).get(j)) + triangle.get(i).get(j)); } } int best = minSum.get(len - 1).get(0); for (int i = 0; i < len; i++) { if (minSum.get(len - 1).get(i) < best) best = minSum.get(len - 1).get(i); } return best; }}
解法四
up bottom基于原列表list
public int minimumTotal(List<List<Integer>> triangle) { if (triangle == null || triangle.size() == 0) { return -1; } if (triangle.get(0) == null || triangle.get(0).size() == 0) { return -1; } // state: f.get(x).get(y) = minimum path value from 0,0 to x,y int len = triangle.size(); // up bottom for (int i = 1; i < len; i++) { for (int j = 0; j <= i; j++) { if (j == 0) { triangle.get(i).set(j, triangle.get(i - 1).get(j) + triangle.get(i).get(j)); } else if (j == i) { triangle.get(i).set(j, triangle.get(i - 1).get(j - 1) + triangle.get(i).get(j)); } else { triangle.get(i).set(j, Math.min(triangle.get(i - 1).get(j - 1), triangle.get(i - 1).get(j)) + triangle.get(i).get(j)); } } } int best = triangle.get(len - 1).get(0); for (int i = 0; i < len; i++) { if (triangle.get(len - 1).get(i) < best) best = triangle.get(len - 1).get(i); } return best; }
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