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sfdatacomponent (); // inherit sfdatacomponentmyautoclassnamecomponent here. prototype. initialize = function (data) {// bind event this. listeners = [sfevent. BIND (data, "taskregister", this, this. ontaskregister), sfevent. BIND (data, "aftertaskupdate", this, this. ontaskupdate),];} myautoclassnamecomponent. prototype. setclassname = function (task) {// This function sets the classname attribute of the task, only Condition. Otherwise, leave it blank (set to default) var name = ""; if (! Task
Graph Theory 3 bipartite graph matching, graph theory Bipartite Graph Matching You can learn http://www.renfei.org/blog/bipartite-matching.html here firstTemplate According to the above blog, the bipartite graph matching can be divided into four types Maximum number of match
The source text is not found. Please refer to the link below: Http://www.cnblogs.com/hiside/archive/2010/12/01/1893878.html Http://topic.csdn.net/u/20071023/11/3edb81fc-37b2-4506-906e-44dc0fc521f2.html1. undirected graph: Method 1: If a loop exists, a subgraph is a loop. Degrees of all vertices in the loop> = 2. N algorithm:Step 1: Delete all vertices with a degree Step 2: Enter the vertex whose degree is 1 into the queue and retrieve a vertex from th
Convert undirected graphs to point-to-double-connected graphsDefinition: Point-double connect refers to a path with at least two points that are not duplicated between any twoThere are two kinds of cases, one is connected graph, the other is non-connected graph① Connectivity DiagramFirst, find all the points in the graph-the two connected components, and then ind
. Kruskal algorithm-merging forests into trees Third, topological sortingTopological order : if there is a forward path from V to W in the diagram, V must precede w. The sequence of vertices that satisfy this condition is called a topological order.The process of obtaining a topological order is topological ordering .AOV (Activity on Vertex) If there is a reasonable topological order, it must be a directed acyclic graph (Directed acyclic
There are n schools under the OA for school enrollment, and each school needs to have relatively independent data management and statistics, When we use a line chart, we will show all the lines in its series. I believe that some network enterprise management programs will be used by friends! Graph:Reference content Demo: Test/lib/amline/amline.html Test/lib/amline/examples/amline1.html Test/lib/amline/examples/amline2.html Test/lib/amline/examples/amline3.html Test/lib/amline/examples/amline4.
[CUT graph] Cutting Method of irregular graph, cut Graph Link the selected two layers. In the future, you can drag the irregular image directly regardless of the selected two layers (select the layer and click the link icon below, you can connect the layers), for example: PS tips: Before clicking the picture to select a layer, remember to do the fo
Recently began to seriously learn the algorithm, with the Sedgewick of the "algorithms". Much of the content is the same as the data structure, the difference is the content of the algorithm more explanation. I often keep track of the difficulties I encounter in learning algorithms and how to solve them.The problem of judging the existence loop is encountered when learning the topological sort. The problem of judging the ring is divided into the direction gr
Big Data graph database: Data sharding and Data graph database This is excerpted from Chapter 14 "Big Data day: Architecture and algorithms". The books are listed in In a distributed computing environment, the first problem facing massive data to be mined is how to evenly distribute data to different servers. For non-graph data, this problem is often solved mo
Graph Theory conclusion, Graph Theory AlgorithmThe connectivity of a graph has a point with a unique degree of 0 in a non-ring graph, which can be reached by any point (because of the absence of a ring, we can start from any point and go forward, must end at a point with an outbound degree of 0.) any point with a non-I
In the process of solving the actual problem, we often need to convert the directed graph into an undirected graph ), however, the independence between the directed graph with the same structure and the variables that the undirected graph can express is different. How to convert a directed
Tags: Big Data System architecture diagram Database MapReduce/* Copyright notice: Can be reproduced arbitrarily, please be sure to indicate the original source of the article and the author information . */Copymiddle: Zhang JunlinExcerpt from "Big Data Day know: Architecture and Algorithms" Chapter 14, book catalogue here1. Graph calculation using MapReduceThere are relatively few studies using the MapReduce framework to calculate large-scale
The "Best match, Perfect match, and Hungarian algorithm" of the "binary graph" is a special image that is particularly easy to understand for several concepts related to the dichotomy. This article is part of a major excerpt from this blog post.There are other posts to consider:A series of interesting writing algorithms--Hungarian algorithmHungarian algorithm for binary graph matching1. Prefacetwo-part diag
This article mainly introduces the JavaScript data structure and algorithm diagram and graph algorithm. This article describes the directed graph, unordered graph, simple graph, and graph traversal. For more information, see Graph
) ========================================================== ======Introduction to online Bayesian probit regression-factor Graph Factor graph is a probability graph. There are many probability graphs. The most common ones are Bayesian Network (Bayesian Network) and Markov Random Fields (Markov Random Field ). In the probability
Question link: http://acm.hdu.edu.cn/showproblem.php? PID = 1, 2454 Problem descriptionwang Haiyang is a strong and optimistic Chinese youngster. although born and brought up in the northern inland city Harbin, he has deep love and yearns for the boundless oceans. after graduation, he came to a coastal city and got a job in a marine transportation company. there, he held a position as a navigator in a freighter and began his new life. The cargo vessel, Wang Haiyang worked on, sails among 6 por
Bipartite Graph learning summary, Bipartite Graph Summary Match: In graph theory, a match is a set of edges, and any two edges have no common vertices. Max matching: The maximum number of matching edges in a graph. Maximum number of matches: Maximum number of matched Edges Perfect match: If all vertices in a matchi
Graph Theory and network science involve a large amount of statistical computing on the characteristics of graphs. Generally, statistics, mining, and visualization related to graph data are collectively referred to as graph processing. This series of articles mainly want to explore various graph processing theories and
ObjectiveIn this section we will delve into the main optimization methods in visual slam-graph optimization (graph-based optimization). In the next section, we describe a very popular graph optimization library: G2O.As for G2O, I wrote a document in 13, but as I deepened my understanding, I felt more dissatisfied. In the spirit of more responsible for the reader,
From: http://www.cppblog.com/RyanWang/archive/2009/05/01/81617.html Standalone set: A set of independent sets is a subset of the vertex set of a graph, the exported child graph of the subset does not contain edges. If a set of independent sets is not a subset of any set of independent sets, then the independent set is called a maximal independent set. The independent set with the highest number of vertice
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