LeetCode_除法求值
作者:互联网
class Solution {
public:
vector<double> calcEquation(vector<vector<string>>& equations, vector<double>& values, vector<vector<string>>& queries) {
vector<double> r;
//转换成图: 一维是起始索引,二维是pair{终止节点,权重}
vector<vector<pair<int, double>>> graph;
unordered_map<string, int> m;
int n = buildGraph(equations, values, m, graph);
for (auto& v : queries)
{
if (!m.count(v[0]) || !m.count(v[1]))
{
r.push_back(-1.0);
}
else
{
r.push_back(dijkstra(n, m[v[0]], m[v[1]], graph));
}
}
return r;
}
int buildGraph(vector<vector<string>>& equations, vector<double>& values, unordered_map<string, int>& m, vector<vector<pair<int, double>>>& graph)
{
static int index = 0;
int n = equations.size();
graph.resize(2*n);
for (int i=0;i<n;++i)
{
if (!m.count(equations[i][0]))
{
m.insert({equations[i][0], index++});
}
if (!m.count(equations[i][1]))
{
m.insert({equations[i][1], index++});
}
graph[m[equations[i][0]]].push_back({m[equations[i][0]], 1.0});
graph[m[equations[i][0]]].push_back({m[equations[i][1]], values[i]});
graph[m[equations[i][1]]].push_back({m[equations[i][1]], 1.0});
graph[m[equations[i][1]]].push_back({m[equations[i][0]], 1.0 / values[i]});
}
return index;
}
//graph是图的邻接边实现,第一维是起点,二维是<终点、开销>
//为了避免图中有孤立的节点,建议传入图中节点的数量
double dijkstra(int n, int start, int end, vector<vector<pair<int, double>>>& graph)
{
// 定义:distTo[i] 的值就是起点 start 到达节点 i 的最小权重
vector<double> distTo(n, INT_MAX);
// base case,start 到 start 的最小权重
distTo[start] = 1.0;
// 优先级队列,distFromStart 较小的排在前面
struct cmp
{
//[0]: 当前节点, [1]: 从start到达当前节点的最小概率
bool operator () (const pair<int, double>& a, const pair<int, double>& b)
{
return a.second > b.second;
}
};
//构建基于权重的最小堆
priority_queue<pair<int, double>, vector<pair<int, double>>, cmp> minHeap;
// 从起点 start 开始进行 BFS
minHeap.push(make_pair(start, 1.0));
while (!minHeap.empty())
{
auto currNode = minHeap.top();
minHeap.pop();
int curNodeID = currNode.first;
if (curNodeID == end)
return distTo[curNodeID];
// 将 curNode 的相邻节点装入队列
for (auto& neighbor : graph[curNodeID])
{
int nextNodeID = neighbor.first;
// int distToNextNode = distTo[curNodeID] + neighbor.second;
double distToNextNode = distTo[curNodeID] * neighbor.second;
if (distTo[nextNodeID] > distToNextNode)
{
distTo[nextNodeID] = distToNextNode;
minHeap.push(make_pair(nextNodeID, distToNextNode));
}
}
}
return (int)distTo[end] == INT_MAX ? -1.0 : distTo[end];
}
};
标签:int,graph,start,vector,distTo,求值,minHeap,除法,LeetCode 来源: https://blog.csdn.net/hclbeloved/article/details/122763639