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luxate    
vt. 使骨脱节,使脱臼

使骨脱节,使脱臼

luxate
v 1: move out of position; "dislocate joints"; "the artificial
hip joint luxated and had to be put back surgically" [synonym:
{dislocate}, {luxate}, {splay}, {slip}]


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  • Types of Graphs with Examples - GeeksforGeeks
    Parallel Edges: If two vertices are connected with more than one edge then such edges are called parallel edges that are many routes but one destination Loop: An edge of a graph that starts from a vertex and ends at the same vertex is called a loop or a self-loop
  • Maximum Number of Edges in a Directed Graph - GeeksforGeeks
    The maximum number of edges in the directed graph depends on the number of the vertices and type of graph Without Self-loops and Parallel Edges: In a directed graph without self-loops and parallel edges each vertex can have an edge to the every other vertex except itself
  • Implement a parallel programming task using graphs
    Given a weighted directed graph with N nodes and M edges along with a source node S, use Parallel Programming to find the shortest distance from the source node S to all other nodes in the graph The graph is given as an edge list edges[][] where for each index i , there is an edge from edges[i][0] to edges[i][1] with weight edges[i][2]
  • Graph Data Structure - GeeksforGeeks
    A Graph is a non-linear data structure consisting of vertices and edges The vertices are sometimes also referred to as nodes and the edges are lines or arcs that connect any two nodes in the graph More formally a Graph is composed of a set of vertices( V ) and a set of edges( E )
  • UGC-NET | UGC NET CS 2015 Jun - II | Question 5 - GeeksforGeeks
    Consider a Hamiltonian Graph (G) with no loops and parallel edges Which of the following is true with respect to this Graph (G) ? (a) deg (v) ≥ n 2 for each vertex of G (b) |E(G)| ≥ 1 2 (n - 1) (n - 2) + 2 edges (c) deg (v) + deg (w) ≥ n for every n and v not connected by an edge
  • Graph Algorithms - GeeksforGeeks
    Graph is a non-linear data structure that contains nodes (vertices) and edges A graph is a collection of set of vertices and edges (formed by connecting two vertices) A graph is defined as G = {V, E} where V is the set of vertices and E is the set of edges
  • Directed Graphs, Multigraphs and Visualization in Networkx
    A Multigraph is a Graph where multiple parallel edges can connect the same nodes For example, let us create a network of 10 people, A, B, C, D, E, F, G, H, I and J They have four different relations among them namely Friend, Co-worker, Family and Neighbour
  • Comparison between Adjacency List and Adjacency Matrix representation . . .
    For a given graph, in order to check for an edge we need to check for vertices adjacent to given vertex A vertex can have at most O(|V|) neighbours and in worst can we would have to check for every adjacent vertex
  • Adjacency Matrix Representation - GeeksforGeeks
    Given the edges of a graph as a list of tuples, construct an adjacency matrix to represent the graph in Python Examples: Input:V = 3 (Number of vertices)edges = [(0, 1), (1, 2), (2, 0)] Output: [ [0, 1, 1], [1, 0, 1], [1, 1, 0]] Input:V = 4 (Number of vertices)edges = [(0, 1), (1, 2), (1, 3), (2, 3
  • Bridges in a graph - GeeksforGeeks
    Given an undirected Graph, The task is to find the Bridges in this Graph An edge in an undirected connected graph is a bridge if removing it disconnects the graph For a disconnected undirected graph, the definition is similar, a bridge is an edge removal that increases the number of disconnected components





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