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A demo for Prim's algorithm based on Euclidean distance. In computer science, Prim's algorithm is a greedy algorithm that finds a minimum spanning tree for a weighted undirected 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. The ...
English: Diagram to assist in proof of Prim's algorithm. If is a minimum spanning tree, and Y is the tree found by Prim's algorithm, we find e, the first edge added by the algorithm which is in but not in Y. Let V be the vertices added to the tree up to that point.
The article currently claims "However, for graphs that are sufficiently dense, Prim's algorithm can be made to run in linear time, meeting or improving the time bounds for other algorithms.[10]". The reference is to Tarjan, "Data Structures and Network Algorithms", page 77.
A prime sieve or prime number sieve is a fast type of algorithm for finding primes. There are many prime sieves. The simple sieve of Eratosthenes (250s BCE), the sieve of Sundaram (1934), the still faster but more complicated sieve of Atkin [1] (2003), sieve of Pritchard (1979), and various wheel sieves [2] are most common.
Greedy algorithms fail to produce the optimal solution for many other problems and may even produce the unique worst possible solution. One example is the travelling salesman problem mentioned above: for each number of cities, there is an assignment of distances between the cities for which the nearest-neighbour heuristic produces the unique ...
A planar graph and its minimum spanning tree. Each edge is labeled with its weight, which here is roughly proportional to its length. A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that connects all the vertices together, without any cycles and with the minimum possible total edge weight. [1]
[8] [9] Bader and Cong presented an MST-algorithm, that was five times quicker on eight cores than an optimal sequential algorithm. [ 10 ] Another challenge is the External Memory model - there is a proposed algorithm due to Dementiev et al. that is claimed to be only two to five times slower than an algorithm that only makes use of internal ...
The algorithm starts by choosing the cheapest edge out of A, then choosing the cheapest edge between {A,D} and {B,C} (there are two of weight 2, and BD is chosen arbitrarily). In the next step the edge AB is no longer a candidate because it now joins two nodes already in the tree, and the only edge remaining to be added is CD.