We have discussed Dynamic Programming solution for Longest Increasing Subsequence problem inthis post and a O(nLogn) solution in this post. Following are commonly asked variations of the standard LIS problem.
1. Building Bridges: Consider a 2-D map with a horizontal river passing through its center. There are n cities on the southern bank with x-coordinates a(1) … a(n) and n cities on the northern bank with x-coordinates b(1) … b(n). You want to connect as many north-south pairs of cities as possible with bridges such that no two bridges cross. When connecting cities, you can only connect city i on the northern bank to city i on the southern bank.
8 1 4 3 5 2 6 7 <---- Cities on the other bank of river----> -------------------------------------------- <--------------- River---------------> -------------------------------------------- 1 2 3 4 5 6 7 8 <------- Cities on one bank of river------->
Source: Dynamic Programming Practice Problems. The link also has well explained solution for the problem.
2. Maximum Sum Increasing Subsequence: Given an array of n positive integers. Write a program to find the maximum sum subsequence of the given array such that the intgers in the subsequence are sorted in increasing order. For example, if input is {1, 101, 2, 3, 100, 4, 5}, then output should be {1, 2, 3, 100}. The solution to this problem has been published here.
3. The Longest Chain You are given pairs of numbers. In a pair, the first number is smaller with respect to the second number. Suppose you have two sets (a, b) and (c, d), the second set can follow the first set if b < c. So you can form a long chain in the similar fashion. Find the longest chain which can be formed. The solution to this problem has been published here.
4. Box Stacking You are given a set of n types of rectangular 3-D boxes, where the i^th box has height h(i), width w(i) and depth d(i) (all real numbers). You want to create a stack of boxes which is as tall as possible, but you can only stack a box on top of another box if the dimensions of the 2-D base of the lower box are each strictly larger than those of the 2-D base of the higher box. Of course, you can rotate a box so that any side functions as its base. It is also allowable to use multiple instances of the same type of box.
Source: Dynamic Programming Practice Problems. The link also has well explained solution for the problem.
对于二维的问题,先把一维固定住(排序),在用动态规划处理剩下一维。
package DP; import java.util.Arrays; import java.util.Comparator; public class BuildingBridges { public static void main(String[] args) { Pair[] A = new Pair[7]; A[0] = new Pair(22,4); A[1] = new Pair(2,6); A[2] = new Pair(10,3); A[3] = new Pair(15,12); A[4] = new Pair(9,8); A[5] = new Pair(17,17); A[6] = new Pair(4,2); System.out.println(lis(A)); } public static int lis(Pair[] A){ Arrays.sort(A, new Comparator<Pair>() { @Override public int compare(Pair o1, Pair o2) { return o1.x - o2.x; } }); int n = A.length; int max = 0; int[] dp = new int[n]; Arrays.fill(dp, 1); for(int i=1; i<n; i++){ for(int j=0; j<i; j++){ if(A[i].y > A[j].y){ dp[i] = Math.max(dp[i], dp[j]+1); } } max = Math.max(max, dp[i]); } return max; } public static class Pair{ int x, y; public Pair(int x_, int y_){ x = x_; y = y_; } } }
http://www.geeksforgeeks.org/dynamic-programming-set-14-variations-of-lis/
http://people.csail.mit.edu/bdean/6.046/dp/