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Prims algorithm

M.RAMYA DEVI HICET STAFF CSE 5 questions

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Questions in this quiz (5)

  1. 1What is the primary purpose of Prim's algorithm?
    1. ATo identify the most efficient way to connect a set of points with minimal cost.
    2. BTo find the largest possible spanning tree within a graph.
    3. CTo determine the shortest path between two points in a graph.
    4. DTo analyze the complexity of a network by calculating its total weight.
  2. 2Which data structures can be used to implement Prim's algorithm?
    1. AHash tables and binary trees.
    2. BAdjacency lists and adjacency matrices.
    3. CLinked lists and arrays.
    4. DStacks and queues.
  3. 3What is the primary advantage of using Prim's algorithm for network design?
    1. AIt guarantees the fastest possible connection between any two points in the network.
    2. BIt allows for easy expansion and modification of the network without affecting its efficiency.
    3. CIt ensures that the network is highly secure and resistant to disruptions.
    4. DIt minimizes the total cost of connecting all points in the network.
  4. 4What is the time complexity of Prim's algorithm?
    1. AO(V^2)
    2. BO(E^2)
    3. CO(V log E)
    4. DO(E log V)
  5. 5How does Prim's algorithm ensure that there are no unnecessary loops in the connections?
    1. AIt starts with a single vertex and gradually adds edges, ensuring that each new edge connects a vertex already in the tree to a vertex not yet in the tree.
    2. BIt uses a greedy approach, always selecting the edge with the minimum weight, which automatically avoids creating loops.
    3. CIt calculates the total weight of all possible paths and selects the one with the minimum weight, eliminating any loops.
    4. DIt uses a data structure called an adjacency list, which prevents the formation of cycles.

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Description
Prim's algorithm, also known as Jarník's algorithm, is a greedy algorithm used to find the minimum spanning tree (MST) of a weighted, undirected graph. A minimum spanning tree is a subset of the edges in a graph that connects all the vertices together with the minimum total weight of the edges, without forming a cycle. In simpler terms, it's like finding the cheapest way to connect all the cities in a network, with the condition that there are no unnecessary loops in the connections.
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