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A tree topology, or star-bus topology, is a hybrid network topology in which star networks are interconnected via bus networks. [ 1 ] [ 2 ] Tree networks are hierarchical, and each node can have an arbitrary number of child nodes.
The fat tree network is a universal network for provably efficient communication. [1] It was invented by Charles E. Leiserson of the MIT in 1985. [ 1 ] k-ary n-trees, the type of fat-trees commonly used in most high-performance networks, were initially formalized in 1997.
Network topology is the arrangement of the elements (links, nodes, etc.) of a communication network. [1] [2] Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, [3] industrial fieldbusses and computer networks.
In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. [1] A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently an acyclic undirected graph, or equivalently a disjoint union of trees.
The version given here is that proven by Nash-Williams; Kruskal's formulation is somewhat stronger. All trees we consider are finite. Given a tree T with a root, and given vertices v, w, call w a successor of v if the unique path from the root to w contains v, and call w an immediate successor of v if additionally the path from v to w contains no other vertex.
In computer science, a B-tree is a self-balancing tree data structure that maintains sorted data and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree generalizes the binary search tree, allowing for nodes with more than two children. [2]
The California condor, like the sprawling state it's named for, is huuuuuge, weighing as much as 25 pounds and with 10-foot wingspans. Though endangered, they are now found in parts of California ...
The key idea is to use the bounding boxes to decide whether or not to search inside a subtree. In this way, most of the nodes in the tree are never read during a search. Like B-trees, R-trees are suitable for large data sets and databases, where nodes can be paged to memory when needed, and the whole tree cannot be kept in main memory. Even if ...