LeetCode - The Skyline Problem

本文介绍了一种计算城市天际线的算法,该算法通过处理建筑物的位置和高度信息,生成由关键点定义的城市轮廓线。文章提供了两种实现方案,一种使用了map数据结构,另一种采用了最大堆。

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A city's skyline is the outer contour of the silhouette formed by all the buildings in that city when viewed from a distance. Now suppose you are given the locations and height of all the buildings as shown on a cityscape photo (Figure A), write a program to output the skyline formed by these buildings collectively (Figure B).

Buildings  Skyline Contour

The geometric information of each building is represented by a triplet of integers [Li, Ri, Hi], where Li and Ri are the x coordinates of the left and right edge of the ith building, respectively, and Hi is its height. It is guaranteed that 0 ≤ Li, Ri ≤ INT_MAX0 < Hi ≤ INT_MAX, and Ri - Li > 0. You may assume all buildings are perfect rectangles grounded on an absolutely flat surface at height 0.

For instance, the dimensions of all buildings in Figure A are recorded as: [ [2 9 10], [3 7 15], [5 12 12], [15 20 10], [19 24 8] ] .

The output is a list of "key points" (red dots in Figure B) in the format of [ [x1,y1], [x2, y2], [x3, y3], ... ] that uniquely defines a skyline. A key point is the left endpoint of a horizontal line segment. Note that the last key point, where the rightmost building ends, is merely used to mark the termination of the skyline, and always has zero height. Also, the ground in between any two adjacent buildings should be considered part of the skyline contour.

For instance, the skyline in Figure B should be represented as:[ [2 10], [3 15], [7 12], [12 0], [15 10], [20 8], [24, 0] ].

Notes:

  • The number of buildings in any input list is guaranteed to be in the range [0, 10000].
  • The input list is already sorted in ascending order by the left x position Li.
  • The output list must be sorted by the x position.
  • There must be no consecutive horizontal lines of equal height in the output skyline. For instance, [...[2 3], [4 5], [7 5], [11 5], [12 7]...] is not acceptable; the three lines of height 5 should be merged into one in the final output as such: [...[2 3], [4 5], [12 7], ...]




几种思路:1.用map 2.用最大堆 3.二分归并

struct line{
    int x, y;
    int type;//1, -1
    line(int xx, int yy, int tt): x(xx), y(yy), type(tt){};
};
bool operator< (line l1, line l2){
        return l1.x < l2.x;
}
class Solution {
public:
    vector<line> vl;
    vector<pair<int, int>> getSkyline(vector<vector<int>>& buildings) {
        int n = buildings.size();
        vector<pair<int, int>> vp;
        for(auto b : buildings){
            vl.push_back(line(b[0], b[2], 1));
            vl.push_back(line(b[1], b[2], -1));
        }
        n <<= 1;
        sort(vl.begin(), vl.end());
        map<int, int> m;
        m[0] = 1;
        vp.push_back(make_pair(-1, 0));
        for(int i = 0; i < n; ++i){
            if(vl[i].type == 1){
                m[vl[i].y]++;
                if(vl[i].y > vp.rbegin()->second){
                    if(vp.rbegin()->first == vl[i].x)
                        vp.pop_back();
                    if(vp.rbegin()->second != vl[i].y)
                        vp.push_back(make_pair(vl[i].x, vl[i].y));
                }
            }
            else{
                if(--m[vl[i].y] == 0)
                    m.erase(vl[i].y);
                if(m.find(vp.rbegin()->second) == m.end()){
                    if(vp.rbegin()->first == vl[i].x)
                        vp.pop_back();
                    if(vp.rbegin()->second != m.rbegin()->first)
                        vp.push_back(make_pair(vl[i].x, m.rbegin()->first));
                }
            }
        }

        vp.erase(vp.begin());
        return vp;
    }
};



class Solution {
public:
    vector<pair<int, int>> getSkyline(vector<vector<int>>& buildings) {
        vector<pair<int, int>> height;
        for (auto &b : buildings) {
            height.push_back({b[0], -b[2]});
            height.push_back({b[1], b[2]});
        }
        sort(height.begin(), height.end());
        multiset<int> heap;
        heap.insert(0);
        vector<pair<int, int>> res;
        int pre = 0, cur = 0;
        for (auto &h : height) {
            if (h.second < 0) {
                heap.insert(-h.second);
            } else {
                heap.erase(heap.find(h.second));
            }   
            cur = *heap.rbegin();
            if (cur != pre) {
                res.push_back({h.first, cur});
                pre = cur;
            }
        }
        return res;
    }
};


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