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An adjacency set is a collection of neighboring nodes in a network. It represents the connections between nodes in a graph or network. In terms of network connectivity, the adjacency set helps determine which nodes are directly connected to each other, which is essential for understanding the overall structure and flow of information in a network.

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What is the difference between network provider and service provider?

The difference between network provider and service provider is how they relate to the rest of a group of computers. A network provider serves as the host computer where the computers are all in the same location. A server is the provider for computers that are not in the same location.


What is a min cut and how does it relate to graph theory?

A min cut in graph theory is the smallest number of edges that need to be removed to disconnect a graph. It is important in graph theory because it helps identify the most crucial connections in a network. By finding the min cut, we can understand the resilience and connectivity of a graph.


What is the dominating set problem and how does it relate to graph theory?

The dominating set problem in graph theory involves finding the smallest set of vertices in a graph such that every other vertex is either in the set or adjacent to a vertex in the set. This problem is important in graph theory as it helps in understanding the concept of domination and connectivity within a graph.


What is the complement of a regular language and how does it relate to the concept of regular expressions?

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What is the clique problem and how does it relate to graph theory?

The clique problem is a computational problem in graph theory where the goal is to find a subset of vertices in a graph where every pair of vertices is connected by an edge. This subset is called a clique. In graph theory, cliques are important because they help us understand the structure and connectivity of a graph. The clique problem is a fundamental problem in graph theory and has applications in various fields such as computer science, social networks, and biology.

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