There are a row of n houses, each house can be painted with one of the three colors: red, blue or green. 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 3
cost matrix. For example, costs[0][0]
is the cost of painting house 0 with color red;costs[1][2]
is the cost of painting house 1 with color green, and so on… Find the minimum cost to paint all houses.
Note:
All costs are positive integers.
//dp[i][j]:minimum cost to paint first i houses with house i to be j color //dp[i][2] = min(dp[i-1][0], dp[i-1][1]) + costs[i][j] //given the color of house i //find the min total cost to paint first i-1 houses //0:red, 1:green, 2:blue //time: O(nk) k: # of colors, n: # of houses public int minCost(int[][] costs) { if (costs == null || costs.length == 0 || costs[0].length == 0) { return 0; } int row = costs.length; int col = costs[0].length; int[][] dp = new int[row][col]; //for house 0, dp[0][j] = costs[0][j] for (int j = 0; j < col; j++) { dp[0][j] = costs[0][j]; } for (int i = 1; i < row; i++) { for (int j = 0; j < col; j++) { int min = Integer.MAX_VALUE; //given the color of house i //find the min total cost to paint first i-1 houses for (int k = 0; k < col; k++) { if (k == j) { continue; } min = Math.min(min, dp[i - 1][k]); } dp[i][j] = min + costs[i][j]; } } int minCost = Integer.MAX_VALUE; //return min in last row for (int j = 0; j < col; j++) { minCost = Math.min(minCost, dp[row - 1][j]); } return minCost; }
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?
public int minCostII(int[][] costs) { if (costs == null || costs.length == 0 || costs[0].length == 0) { return 0; } if (costs[0].length == 1) { return costs[0][0]; } int n = costs.length; int k = costs[0].length; //dp 2d array. //minCost[i][j]: minimum cost to paint ith house with color j. int[][] minCost = new int[n][k]; //minColor==i: for the current house, use ith color has smallest total value from house 0 ~ i int minColor = -1; //init first row(1st house) int minValue = Integer.MAX_VALUE; int secondMinValue = Integer.MAX_VALUE; for (int j = 0; j < k; j++) { minCost[0][j] = costs[0][j]; if (minCost[0][j] < minValue) { //Important here! //if there is a new min, then we need to compare the old min with the secondMinValue secondMinValue = Math.min(secondMinValue, minValue); minValue = minCost[0][j]; minColor = j; } else if (minCost[0][j] < secondMinValue) { secondMinValue = minCost[0][j]; } } int preMinValue, preSecondMinValue, preMinColor; for (int i = 1; i < n; i++) { preMinColor = minColor; preMinValue = minValue; preSecondMinValue = secondMinValue; minColor = -1; minValue = Integer.MAX_VALUE; secondMinValue = Integer.MAX_VALUE; for (int j = 0; j < k; j++) { //if minCost[i-1][j] is not the smallest if (j != preMinColor) { minCost[i][j] = preMinValue + costs[i][j]; } //if minCost[i-1][j] is the smallest //then we can only use the second smallest one else { minCost[i][j] = preSecondMinValue + costs[i][j]; } if (minCost[i][j] < minValue) { //Important here! //if there is a new min, then we need to compare the old min with the secondMinValue secondMinValue = Math.min(secondMinValue, minValue); minValue = minCost[i][j]; minColor = j; } else if (minCost[i][j] < secondMinValue) { secondMinValue = minCost[i][j]; } } } return minValue; }