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Commitecd8a88

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Lintcode/src/chapter4_DynamicProgrammingI/Triangle.java
1 parentf7592f0 commitecd8a88

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packagechapter4_DynamicProgrammingI;
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importutils.CommonUtils;
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/**Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below.
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Notice
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Bonus point if you are able to do this using only O(n) extra space, where n is the total number of rows in the triangle.
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Example
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Given the following triangle:
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[
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[2],
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[3,4],
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[6,5,7],
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[4,1,8,3]
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]
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The minimum path sum from top to bottom is 11 (i.e., 2 + 3 + 5 + 1 = 11).
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*/
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publicclassTriangle {
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/**
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* @param triangle: a list of lists of integers.
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* @return: An integer, minimum path sum.
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*/
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publicintminimumTotal(int[][]triangle) {
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if(triangle ==null ||triangle.length ==0)return0;
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intm =triangle.length,n =triangle[m-1].length;//you must use the last row's length which is the largest. But I'm using some unnecessary space here.
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int[][]paths =newint[m][n];
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paths[0][0] =triangle[0][0];
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//initialize column 0 since it's special in that it could get only descend from its upper one
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for(inti =1;i <m;i++){
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paths[i][0] =paths[i-1][0] +triangle[i][0];
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}
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CommonUtils.printMatrix(paths);
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intmin =Integer.MAX_VALUE;
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intcolMax =0;
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inti =1;
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for(;i <m;i++){
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colMax =i;
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computeMinForThisRow(triangle,i,colMax,paths);
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}
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i--;
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for(intj =colMax;j >=0;j--){
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min =Math.min(min,paths[i][j]);
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}
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CommonUtils.printMatrix(paths);
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returnmin;
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}
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voidcomputeMinForThisRow(int[][]triangle,introw,intcolMax,int[][]paths){
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for(intj =1;j <=colMax;j++){//we start from column 1, since column 0 has been initialized already
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intleft =Integer.MAX_VALUE,right =Integer.MAX_VALUE;
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left =paths[row-1][j-1];
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if(j <colMax)right =paths[row-1][j];
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paths[row][j] =Math.min(left,right) +triangle[row][j];
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}
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}
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publicstaticvoidmain(String...args){
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Triangletest =newTriangle();
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int[][]triangle =newint[][]{
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{2},
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{3,4},
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{6,5,7},
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{4,1,8,3}
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};
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System.out.print(test.minimumTotal(triangle));
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}
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}

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