zoukankan      html  css  js  c++  java
  • LeetCode 1039. Minimum Score Triangulation of Polygon

    原题链接在这里:https://leetcode.com/problems/minimum-score-triangulation-of-polygon/

    题目:

    Given N, consider a convex N-sided polygon with vertices labelled A[0], A[i], ..., A[N-1] in clockwise order.

    Suppose you triangulate the polygon into N-2 triangles.  For each triangle, the value of that triangle is the product of the labels of the vertices, and the total score of the triangulation is the sum of these values over all N-2 triangles in the triangulation.

    Return the smallest possible total score that you can achieve with some triangulation of the polygon.

    Example 1:

    Input: [1,2,3]
    Output: 6
    Explanation: The polygon is already triangulated, and the score of the only triangle is 6.
    

    Example 2:

    Input: [3,7,4,5]
    Output: 144
    Explanation: There are two triangulations, with possible scores: 3*7*5 + 4*5*7 = 245, or 3*4*5 + 3*4*7 = 144.  The minimum score is 144.
    

    Example 3:

    Input: [1,3,1,4,1,5]
    Output: 13
    Explanation: The minimum score triangulation has score 1*1*3 + 1*1*4 + 1*1*5 + 1*1*1 = 13.

    Note:

    1. 3 <= A.length <= 50
    2. 1 <= A[i] <= 100

    题解:

    Edge between A[i] and A[j] would construct only one triangle in polygon. With k between i and j, these 3 nodes construct trangle and the rest i~k, and k~j are polygons. Maintain the minimum.

    Let dp[i][j] denotes the minimum score got using nodes from A[i] to A[j].

    For all k bigger than i and smaller than j, maintain the mimimum score by min(dp[i][k] + dp[k][j] + A[i]*A[j]*A[k]).

    Time Complexity: O(n^3). n = A.length.

    Space: O(n^2).

    AC Java:

     1 class Solution {
     2     public int minScoreTriangulation(int[] A) {
     3         int n = A.length;
     4         int [][] dp = new int[n][n];
     5         for(int d = 2; d<n; d++){
     6             for(int i = 0; i+d<n; i++){
     7                 int j = i+d;
     8                 dp[i][j] = Integer.MAX_VALUE;
     9                 for(int k = i+1; k<j; k++){
    10                     dp[i][j] = Math.min(dp[i][j], dp[i][k]+dp[k][j]+A[i]*A[j]*A[k]);
    11                 }
    12             }
    13         }
    14         
    15         return dp[0][n-1];
    16     }
    17 }

    Another implementation.

     1 class Solution {
     2     public int minScoreTriangulation(int[] A) {
     3         int n = A.length;
     4         int [][] dp = new int[n][n];
     5         for(int j = 2; j<n; j++){
     6             for(int i = j-2; i>=0; i--){
     7                 dp[i][j] = Integer.MAX_VALUE;
     8                 for(int k = i+1; k<j; k++){
     9                     dp[i][j] = Math.min(dp[i][j], dp[i][k]+dp[k][j]+A[i]*A[j]*A[k]);
    10                 }
    11             }
    12         }
    13         
    14         return dp[0][n-1];
    15     }
    16 }
  • 相关阅读:
    以链表为载体学习C++(1)
    以链表为载体学习C++(2)
    20191304商苏赫Python程序设计实验一
    Python实验二 20191304商苏赫
    七大基本排序算法之插入排序
    七大基本排序算法之归并排序
    《富爸爸,穷爸爸》
    七大基本排序算法之冒泡排序
    七大基本排序算法之选择排序
    七大基本排序算法之希尔排序
  • 原文地址:https://www.cnblogs.com/Dylan-Java-NYC/p/11576043.html
Copyright © 2011-2022 走看看