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  1. 20 mar 2024 · Key Differences Between Graph and Tree. Cycles: Graphs can contain cycles, while trees cannot. Connectivity: Graphs can be disconnected (i.e., have multiple components), while trees are always connected. Hierarchy: Trees have a hierarchical structure, with one vertex designated as the root. Graphs do not have this hierarchical structure.

  2. Tree is a special kind of graph that has no cycle so that is known as DAG (Directed Acyclic Graph). Tree is a hierarchical model. In graph, each node has one or more predecessor nodes and successor nodes. The graph is traversed by using Depth First Search (DFS) and Breadth First Search (BFS) algorithms.

  3. Tree. A tree is an undirected graph G that satisfies any of the following equivalent conditions: G is connected and acyclic (contains no cycles). G is acyclic, and a simple cycle is formed if any edge is added to G. G is connected, but would become disconnected if any single edge is removed from G.

  4. A path graph or linear graph is a tree graph that has exactly two vertices of degree 1 such that the only other vertices form a single path between them, which means that it can be drawn as a straight line. A star tree is a tree that has exactly one vertex of degree greater than 1 called a root, and all other vertices are adjacent to it.

  5. Trees. Isabela Dramnesc UVT. Computer Science Department, West University of Timisoara, Romania. What is Graph Theory? The study of graphs as mathematical structures G = (V ; E) used to model pairwise relations (a.k.a. edges) between objects of a collection V .

  6. GRAPH THEORY { LECTURE 4: TREES 7 Lemma 1.10. Let v and w be two vertices in a tree T such that w is of maximum distance from v (i.e., ecc(v) = d(v;w)). Then w is a leaf. Proof. Let P be the unique v-w path in tree T. If deg(w) 2, then w would have a neighbor z whose distance from v would equal d(v;w) + 1,

  7. 4 Graph Theory III Definition. A tree T = (V,E) is a spanning tree for a graph G = (V0,E0) if V = V0 and E ⊆ E0. The following figure shows a spanning tree T inside of a graph G. = T Spanning trees are interesting because they connect all the nodes of a graph using the smallest possible number of edges.