思路
题意挺简单的,就是在一个直角坐标系内给出若干点,求一个最小生成树,可以用prim直接写,也可以建图用 并查集维护边集再Kruskal。二者的介绍详见博客:最小生成树--Prim算法&Kruskal算法。
代码
prim
class Solution {
public:
int minCostConnectPoints(vector<vector<int>>& points) {
const int n = points.size();
int ans = 0, mp[1005][1005], dis[1005];
bool flag[1005]={0};
memset(dis, 0x3f, sizeof(dis));
for (int i = 0; i < n; i++){
for (int j = 0; j < n; j++) {
mp[i][j] = abs(points[i][0] - points[j][0]) + abs(points[i][1] - points[j][1]);
}
}
for (int i = 0; i < n; i++) {
int tmp = -1;
for (int j = 0; j < n; j++) {
if (!flag[j] && (tmp == -1 || dis[tmp] > dis[j])) {
tmp = j;
}
}
if(i) {
ans += dis[tmp];
}
flag[tmp] = true;
for(int j = 0; j < n; j++) {
if(!flag[j]) {
dis[j] = min(dis[j], mp[tmp][j]);
}
}
}
return ans;
}
};
Kruskal
struct Edge {
int len, x, y;
Edge(int len, int x, int y) : len(len), x(x), y(y) {}
};
class Solution {
private:
unordered_map<int, int> father;
unordered_map<int, int> rank;
vector<Edge> edges;
public:
void init(int n) {
for (int i = 0; i < n; i++) {
father[i] = i;
rank[i] = 1;
}
}
int find(int x) {
return father[x] == x ? x : father[x] = find(father[x]);
}
bool merge(int x, int y) {
int fx = find(x);
int fy = find(y);
if (fx == fy) {
return false;
}
if(rank[fx] < rank[fy]) {
swap(fx, fy);
}
rank[fx] += rank[fy];
father[fy] = fx;
return true;
}
int minCostConnectPoints(vector<vector<int>>& points) {
auto dis = [&](int x, int y) -> int {
return abs(points[x][0] - points[y][0]) + abs(points[x][1] - points[y][1]);
};
const int n = points.size();
int cnt = 1, ans = 0;
init(n);
for (int i = 0; i < n; i++) {
for (int j = i + 1; j < n; j++) {
edges.emplace_back(dis(i, j), i, j);
}
}
sort(edges.begin(), edges.end(), [](Edge a, Edge b) -> bool {
return a.len < b.len;
});
for (auto& [len, x, y] : edges) {
if(merge(x, y)) {
ans += len;
cnt++;
if(cnt == n) {
break;
}
}
}
return ans;
}
};