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\nFrom 0 to 1 Data Structures & Algorithms in Java - Prim's Algorithm For a Minimal Spanning Tree\n

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\nA minimal spanning tree is a tree which covers all the vertices of graph and has the lowest cost. This clip is from the chapter \"Spanning Tree Algorithms\" of the series \"From 0 to 1: Data Structures & Algorithms in Java\".Prim's...\nA minimal spanning tree is a tree which covers all the vertices of graph and has the lowest cost.

This clip is from the chapter \"Spanning Tree Algorithms\" of the series \"From 0 to 1: Data Structures & Algorithms in Java\".Prim's algorithm is very similar to Dijkstra's shortest path algorithm with a few differences. The minimal spanning tree is used when we want to connect all vertices at the lowest cost, it's not the shortest path from source to destination. We also work with Kruskal’s algorithm.\n
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Resource Details

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Media Length
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17:27
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nPackt - Programming\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Fine Print: Educational Use
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Concepts

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algorithms, distance, weight, vertex
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Additional Tags

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data structures, java, graph algorithms, big-o, edge weight, total cost, lowest cost, current step, spanning tree, important difference, shortest path, shorter edge, distance table, shortest distance, primms algorithm, existing vertices, lowest weight, explored earlier, edge connects, source vertex, tree, earlier, edge, adjacent, start, explored, source, included, works, connected, chosen
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Best For: Explaining a topic
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