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Give time complexity expression for kruskal's algorithm?
O(E lg V)
What is the complexity of kruskal's minimum spanning tree algorithm on a graph with n nodes and e edges?
o(eloge)
Why prims algorithm is better than kruskals algorithm?
"What are difference between Prim's algorithm and Kruskal's algorithm for finding the minimum spanning tree of a graph?" Prim's method starts with one vertex of a graph as your tree, and adds the smallest edge that grows your tree by one more vertex. Kruskal starts with all of the vertices of a graph as a forest, and adds the smallest edge that joins two trees in the forest. Prim's method is better when * You can only concentrate on one tree at a time * You can concentrate on only a few edges at a time Kruskal's method is better when * You can look at all of the edges at once * You can hold all of the vertices at once * You can hold a forest, not just one tree Basically, Kruskal's method is more time-saving (you can order the edges by weight and burn through them fast), while Prim's method is more space-saving (you only hold one tree, and only look at edges that connect to vertices in your tree).
Which one is better kruhskal's algorithm or prim's algorithm?
Both algorithms have the same efficiency and both are based on the same greedy approach. But Kruskal's algorithm is much easier to implement.
What is krushkal algorithm?
Kruskal's algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. If the graph is not connected, then it finds a minimum spanning forest (a minimum spanning tree for each connected component). Kruskal's algorithm is an example of a greedy algorithm.
What is the runtime complexity of Kruskal's algorithm for finding the minimum spanning tree of a graph?
The runtime complexity of Kruskal's algorithm is O(E log V), where E is the number of edges and V is the number of vertices in the graph.
Give time complexity expression for kruskal's algorithm?
O(E lg V)
What is the complexity of kruskal's minimum spanning tree algorithm on a graph with n nodes and e edges?
o(eloge)
Why prims algorithm is better than kruskals algorithm?
"What are difference between Prim's algorithm and Kruskal's algorithm for finding the minimum spanning tree of a graph?" Prim's method starts with one vertex of a graph as your tree, and adds the smallest edge that grows your tree by one more vertex. Kruskal starts with all of the vertices of a graph as a forest, and adds the smallest edge that joins two trees in the forest. Prim's method is better when * You can only concentrate on one tree at a time * You can concentrate on only a few edges at a time Kruskal's method is better when * You can look at all of the edges at once * You can hold all of the vertices at once * You can hold a forest, not just one tree Basically, Kruskal's method is more time-saving (you can order the edges by weight and burn through them fast), while Prim's method is more space-saving (you only hold one tree, and only look at edges that connect to vertices in your tree).
Is the time complexity of the algorithm polynomial or superpolynomial?
The time complexity of the algorithm is superpolynomial.
What is the difference between kruskal's and prim's algorithm?
http://wiki.answers.com/Differences_between_prim's_and_kruskal'sexample http://wiki.answers.com/Differences_between_prim's_and_kruskal's
Which one is better kruhskal's algorithm or prim's algorithm?
Both algorithms have the same efficiency and both are based on the same greedy approach. But Kruskal's algorithm is much easier to implement.
What is krushkal algorithm?
Kruskal's algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. If the graph is not connected, then it finds a minimum spanning forest (a minimum spanning tree for each connected component). Kruskal's algorithm is an example of a greedy algorithm.
What is the memory complexity of the algorithm being used for this task?
The memory complexity of an algorithm refers to the amount of memory it requires to run. It is important to consider the memory complexity when evaluating the efficiency of an algorithm.
What is the time complexity of the algorithm in terms of 2 log n?
The time complexity of the algorithm is O(log n).
Will either kruskal or prim's algorithm work on negative edge graph?
The correctness of either Prim's or Kruskal's algorithm, is not affected by negative edges in the graph. They both work fine with negative edges. The question boils down to "Does a Priority Queue of numbers work with negative numbers?" because of the fact that both Prim's and Kruskal's algorithm use a priority queue. Of course -- as negative numbers are simply numbers smaller than 0. The "<" sign will still work with negative numbers.
What are the key factors that influence the performance of algorithms in the context of Prims runtime?
The key factors that influence the performance of algorithms in the context of Prim's runtime are the size of the input graph, the data structure used to store the graph, and the efficiency of the algorithm's implementation. These factors can impact the time and space complexity of the algorithm, affecting its overall performance.
