}  }  adjList[from].push_back(temp);     return true;   }   V is the number of total vertices in the graph, E is the average number of edges per vertex.     O(logV + E)     O(E+V)     O(ElogV)     O(logV)     O(1)     O(V)

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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 struct Neighbors {
   VertexT vertex;
   WeightT weight;
  };
  map<VertexT, vector<Neighbors>> adjList;

 

What is the worst case time complexity for this version of addEdge?

 

  bool addEdge(VertexT from, VertexT to, WeightT weight) {
    if ((adjList.count(from) == 0) && (adjList.count(to) == 0)) {
      return false;
    }

    Neighbors temp;
 temp.vertex = to;
 temp.weight = weight;

 for (auto &e: adjList.at(from)) {
     if (e.vertex == to) {
            e.weight = weight;
            return true;
     }
 }
 adjList[from].push_back(temp);

    return true;
  }

 

V is the number of total vertices in the graph, E is the average number of edges per vertex.

   

O(logV + E)

   

O(E+V)

   

O(ElogV)

   

O(logV)

   

O(1)

   

O(V)

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