// 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?
/**
Ref: http://buttercola.blogspot.com/2015/09/leetcode-paint-house-ii.html
Let us assume, we have "min_1" and "min_2".
min_1 : the lowest cost at previous stage.
min_2 : the 2nd lowest cost at previous stage.
And we have the minimum costs for all colors at previous stage.
color[i-1][k]
Then, iff we decide to paint house "i" with color "j", we can compute the minimum cost of other colors at "i-1" stage through following way.
case 1: iff "color[i-1][j] == min_1", it means the min_1 actually records the minimum value of color[i-1][j] (previous color is j), we have to use min_2;
case 2: iff "color[i-1][j] != min_1", it means min_1 is not the value of color[i-1][j] (previous color is not j), we can use the min_1's color.
Note: iff "pre_min_1 == pre_min_2", it means there are two minimum costs, anyway, no matter which color is pre_min_1, we can use pre_min_2.
----------------------------------------------------------
if (dp[j] != pre_min_1 || pre_min_1 == pre_min_2) {
dp[j] = pre_min_1 + costs[i][j];
} else{
dp[j] = pre_min_2 + costs[i][j];
}
----------------------------------------------------------
The way to maintain "min_1" and "min_2".
for (int i = 0; i < len; i++) {
...
min_1 = Integer.MAX_VALUE;
min_2 = Integer.MAX_VALUE;
...
if (dp[j] <= min_1) {
min_2 = min_1;
min_1 = dp[j];
} else if (dp[j] < min_2){
min_2 = dp[j];
}
}
*/
public class PaintHouseII {
public int minCostII(int[][] costs) {
if(costs == null|| costs.length == 0) {
return 0;
}
int m = costs.length;
int n = costs[0].length;
int min1 = -1;
int min2 = -1;
for(int i = 0; i < m; i++) {
int last1 = min1;
int last2 = min2;
min1 = -1;
min2 = -1;
for(int j = 0; j < n; j++) {
if(j != last1) {
costs[i][j] += last1 < 0 ? 0 : costs[i - 1][last1];
} else {
costs[i][j] += last2 < 0 ? 0 : costs[i - 1][last2];
}
if(min1 < 0 || costs[i][j] < costs[i][min1]) {
min2 = min1;
min1 = j;
} else if(min2 < 0 || costs[i][j] < costs[i][min2]) {
min2 = j;
}
}
}
return costs[m - 1][min1];
}
}
//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?
/**
Ref: http://buttercola.blogspot.com/2015/09/leetcode-paint-house-ii.html
Let us assume, we have "min_1" and "min_2".
min_1 : the lowest cost at previous stage.
min_2 : the 2nd lowest cost at previous stage.
And we have the minimum costs for all colors at previous stage.
color[i-1][k]
Then, iff we decide to paint house "i" with color "j", we can compute the minimum cost of other colors at "i-1" stage through following way.
case 1: iff "color[i-1][j] == min_1", it means the min_1 actually records the minimum value of color[i-1][j] (previous color is j), we have to use min_2;
case 2: iff "color[i-1][j] != min_1", it means min_1 is not the value of color[i-1][j] (previous color is not j), we can use the min_1's color.
Note: iff "pre_min_1 == pre_min_2", it means there are two minimum costs, anyway, no matter which color is pre_min_1, we can use pre_min_2.
----------------------------------------------------------
if (dp[j] != pre_min_1 || pre_min_1 == pre_min_2) {
dp[j] = pre_min_1 + costs[i][j];
} else{
dp[j] = pre_min_2 + costs[i][j];
}
----------------------------------------------------------
The way to maintain "min_1" and "min_2".
for (int i = 0; i < len; i++) {
...
min_1 = Integer.MAX_VALUE;
min_2 = Integer.MAX_VALUE;
...
if (dp[j] <= min_1) {
min_2 = min_1;
min_1 = dp[j];
} else if (dp[j] < min_2){
min_2 = dp[j];
}
}
*/
public class PaintHouseII {
public int minCostII(int[][] costs) {
if(costs == null|| costs.length == 0) {
return 0;
}
int m = costs.length;
int n = costs[0].length;
int min1 = -1;
int min2 = -1;
for(int i = 0; i < m; i++) {
int last1 = min1;
int last2 = min2;
min1 = -1;
min2 = -1;
for(int j = 0; j < n; j++) {
if(j != last1) {
costs[i][j] += last1 < 0 ? 0 : costs[i - 1][last1];
} else {
costs[i][j] += last2 < 0 ? 0 : costs[i - 1][last2];
}
if(min1 < 0 || costs[i][j] < costs[i][min1]) {
min2 = min1;
min1 = j;
} else if(min2 < 0 || costs[i][j] < costs[i][min2]) {
min2 = j;
}
}
}
return costs[m - 1][min1];
}
}
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