[Leetcode]Paint House II

本文介绍了一种使用动态规划解决涂色问题的方法,确保相邻房屋颜色不同且总涂色成本最低。通过分析成本矩阵,文章详细阐述了如何在O(nk²)时间内找到最优解。

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There are a row of n houses, each house can be painted with one of the k colors. The cost of painting each house with a certain color is different. You have to paint all the houses such that no two adjacent houses have the same color.
The cost of painting each house with a certain color is represented by a n x k cost matrix. For example, costs[0][0] is the cost of painting house 0 with color 0; costs[1][2] is the cost of painting house 1 with color 2, and so on... Find the minimum cost to paint all houses.
Note:
All costs are positive integers.
Follow up:
Could you solve it in O(nk) runtime?
/*algorithm: dp soluton ,similar paint house problem
for path[0..i]
level i; dp[i][0] = min(dp[i-1][1],...,dp[i-1][k-1]) + dp[i][0];
     	 dp[i][1] = min(dp[i-1][0],dp[i-1][2],...,dp[i-1][k-1]) + dp[i][1]
     	 dp[i][j] = min(dp[i-1][0],...dp[i-1][j-1],dp[i-1][j+1],..dp[i-1][k-1]) + dp[i][j]
the path min cost is min(dp[n-1][0...k-1])
	time O(n*k*k) space O(1)
*/
int minCostII(vector<vector<int> >&costs) {
	int n = costs.size();
	if(n < 1)return 0;
	int k = costs[0].size();
	for(int i = 1;i < n;i++){
		for(int j = 0;j < k;j++){
			int cost = INT_MAX;
			for(int m = 0;m < k;m++){
				if(m != j)cost = min(costs[i-1][m],cost);
			}
			costs[i][j] += cost;
		}
	}

	//for last level
	int cost = INT_MAX;
	for(int i = 0;i < k;i++)
		cost = min(cost,cost[n-1][i]);
	return cost;
}


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