trees

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trees trees algorithms and data structures course trees tree is a graph, that with the following properties: there exist from each vertex to every another vertex. and there is no path from vertex to itself. other definition: tree is a acyclic undirected connected graph. easy to note, that if tree consists of vertices, then the number of edges is equal to . algorithms and data structures course trees a node that does not have ancestors (the topmost one) is called the root node. such tree is called rooted tree. level 0 is a first level, and contain only the root of tree. level k contains the vertices, that connected with vertices of level k – 1. height of tree is a largest level of tree plus 1. each vertex have a parent except the root. leaf is a vertex that have no child. algorithms and data structures course trees example …
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trees trees algorithms and data structures course trees tree is a graph, that with the following properties: there exist from each vertex to every another vertex. and there is no path from vertex to itself. other definition: tree is a acyclic undirected connected graph. easy to note, that if tree consists of vertices, then the number of edges is equal to . algorithms and data structures course trees a node that does not have ancestors (the topmost one) is called the root node. such tree is called rooted tree. level 0 is a first level, and contain only the root of tree. level k contains the vertices, that connected with vertices of level k – 1. height of tree is …

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