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Consider a directed, weighted graph G with |V| vertices and |E| edges. What is the worst-case time complexity of finding the vertex with the greatest number of edges, counting incoming and outgoing together, if G is implemented using an adjacency matrix?
Consider a directed, weighted graph G with |V| vertices and |E| edges. What is the worst-case time complexity of listing all the outgoing edges of the vertex that has the most outgoing edges, if G is implemented using an unsorted adjacency list?
Consider a directed, weighted graph G with |V| vertices and |E| edges. What is the worst-case time complexity of determining whether G contains an edge between vertices u and v (in either direction), if G is implemented using an unsorted adjacency list?
Consider a directed, weighted graph G with |V| vertices and |E| edges. What is the worst-case time complexity of determining whether G contains an edge between vertices u and v (in either direction), if G is implemented using an adjacency matrix?
Consider a directed, weighted graph G with |V| vertices and |E| edges. What is the worst-case time complexity of running a Breadth-First Search (BFS) on G, if G is implemented using an unsorted adjacency list?