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作者: encroach    時間: 2025-3-21 16:29
書目名稱Guide to Graph Algorithms影響因子(影響力)




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書目名稱Guide to Graph Algorithms被引頻次




書目名稱Guide to Graph Algorithms被引頻次學(xué)科排名




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書目名稱Guide to Graph Algorithms年度引用學(xué)科排名




書目名稱Guide to Graph Algorithms讀者反饋




書目名稱Guide to Graph Algorithms讀者反饋學(xué)科排名





作者: 發(fā)酵    時間: 2025-3-21 21:36
Algebraic and Dynamic Graph Algorithmsmay be deleted as time progresses. We describe few dynamic graph problems that can be solved by dynamic graph algorithms, and finally we give a brief description of the methods used in dynamic algebraic graph algorithms, which are used for dynamic graphs using linear algebraic techniques.
作者: Organization    時間: 2025-3-22 01:13

作者: 得意人    時間: 2025-3-22 07:16
Metadata in User-Generated Content,orithms to find cut-vertices and bridges of undirected graphs. We then review algorithms to find blocks of graphs and strongly connected components of digraphs. We describe the relationship between Connectivity, and network flows and matching and review sequential, parallel and distributed algorithms for all of the mentioned topics.
作者: Ventricle    時間: 2025-3-22 12:30

作者: 約會    時間: 2025-3-22 15:44
How Social Media Will Impact Marketing Media used models for the large graphs representing real networks are small-world and scale-free models. The former means the average distance between any two nodes in large graphs is small and only few nodes with high degrees exist with majority of the nodes having low degrees in the latter.
作者: 約會    時間: 2025-3-22 19:20
Social Media Analysis for Event Detectiontal weight. Finding a maximum (weighted) matching in an unweighted or weighted graph is one of the rare graph problems that can be solved in polynomial time. We review sequential, parallel, and distributed algorithms for unweighted and weighted general graphs and bipartite graphs in this chapter.
作者: HALL    時間: 2025-3-23 01:15

作者: ornithology    時間: 2025-3-23 01:37
Matchingtal weight. Finding a maximum (weighted) matching in an unweighted or weighted graph is one of the rare graph problems that can be solved in polynomial time. We review sequential, parallel, and distributed algorithms for unweighted and weighted general graphs and bipartite graphs in this chapter.
作者: Endoscope    時間: 2025-3-23 07:15

作者: HERTZ    時間: 2025-3-23 11:46

作者: bile648    時間: 2025-3-23 16:03

作者: Fracture    時間: 2025-3-23 18:30

作者: SLUMP    時間: 2025-3-24 02:13
Social Lives with Other Animals communicate to achieve a common goal. We first describe the type of distributed systems, the communication and synchronization methods used in these systems. We then investigate few fundamental distributed algorithms including spanning tree construction, broadcast and convergecast operations over a
作者: 離開就切除    時間: 2025-3-24 05:21
https://doi.org/10.1007/978-3-319-09213-3panning tree of a graph, and tree traversal algorithms. Two main methods of graph traversal are depth-first search and breadth-first search. We review sequential, parallel, and distributed algorithms for these traversals along with their various applications.
作者: 躺下殘殺    時間: 2025-3-24 07:30

作者: 慌張    時間: 2025-3-24 12:19
Metadata in User-Generated Content,wo of its vertices in both directions. We start this chapter by defining the parameters of vertex and edge connectivity. We continue by describing algorithms to find cut-vertices and bridges of undirected graphs. We then review algorithms to find blocks of graphs and strongly connected components of
作者: prediabetes    時間: 2025-3-24 16:25

作者: 宮殿般    時間: 2025-3-24 19:51
Alexander and Frederik Peinigeradjacent vertices have the same color in vertex coloring. Edge coloring is the process of assigning colors to the edges of a graph such that no two edges incident to the same vertex are assigned the same color. We review sequential, parallel, and distributed algorithms for vertex and edge coloring i
作者: 迅速飛過    時間: 2025-3-25 01:47

作者: 乳白光    時間: 2025-3-25 06:10
How Social Media Will Impact Marketing MediaWe describe new parameters and methods for the analysis of these graphs and also describe various models to represent them in this chapter. Two widely used models for the large graphs representing real networks are small-world and scale-free models. The former means the average distance between any
作者: palette    時間: 2025-3-25 10:03

作者: pacifist    時間: 2025-3-25 15:25
https://doi.org/10.1007/978-981-19-5017-9may be used as building blocks to solve more complicated problems related to graphs in Part II which formed the core of the book. We looked at sequential, parallel, and distributed algorithmic solutions to the problems studied in this part. In the final part, we first briefly reviewed algebraic and
作者: 嘮叨    時間: 2025-3-25 18:56
Introduction to Graphse nodes. We review notations used for graphs, basic definitions, vertex degrees, subgraphs, graph isomorphism, graph operations, directed graphs, distance, graph representations, and matrices related to graphs in this chapter.
作者: 耐寒    時間: 2025-3-25 21:18

作者: precede    時間: 2025-3-26 04:08

作者: Coterminous    時間: 2025-3-26 05:06

作者: 枯燥    時間: 2025-3-26 08:30
Trees and Graph Traversalspanning tree of a graph, and tree traversal algorithms. Two main methods of graph traversal are depth-first search and breadth-first search. We review sequential, parallel, and distributed algorithms for these traversals along with their various applications.
作者: Esalate    時間: 2025-3-26 13:38

作者: preservative    時間: 2025-3-26 19:54
Connectivitywo of its vertices in both directions. We start this chapter by defining the parameters of vertex and edge connectivity. We continue by describing algorithms to find cut-vertices and bridges of undirected graphs. We then review algorithms to find blocks of graphs and strongly connected components of
作者: enmesh    時間: 2025-3-27 00:37

作者: somnambulism    時間: 2025-3-27 03:22

作者: BIPED    時間: 2025-3-27 07:03
Algebraic and Dynamic Graph Algorithmst part of this chapter. Many real-life networks are represented by dynamic graphs in which new vertices/edges may be inserted and some vertices/edges may be deleted as time progresses. We describe few dynamic graph problems that can be solved by dynamic graph algorithms, and finally we give a brief
作者: 狂怒    時間: 2025-3-27 10:45

作者: Mere僅僅    時間: 2025-3-27 17:26
Complex Networksrks are large and special methods are commonly needed for the analysis of these networks. The main complex networks which are biological networks, social networks, technological networks and information networks are reviewed with brief description of the algorithms needed to solve some problems in t
作者: Carminative    時間: 2025-3-27 18:50

作者: 壁畫    時間: 2025-3-28 01:06
Cissexism (Genderism or Binarism)e nodes. We review notations used for graphs, basic definitions, vertex degrees, subgraphs, graph isomorphism, graph operations, directed graphs, distance, graph representations, and matrices related to graphs in this chapter.
作者: HERE    時間: 2025-3-28 06:11
https://doi.org/10.1007/978-3-030-51716-8 on graph algorithms. We then provide a short survey of NP-completeness with example NP-hard graph problems. Finally, we briefly review the major algorithm design methods showing their implementations for graph problems.
作者: 反饋    時間: 2025-3-28 10:00

作者: Urgency    時間: 2025-3-28 11:56

作者: 擦掉    時間: 2025-3-28 14:39

作者: 平淡而無味    時間: 2025-3-28 22:12
Roland Gabriel,Heinz-Peter R?hrsand the weights of a vertex commonly show its capacity to perform some function. In this chapter, we review sequential, parallel, and distributed algorithms for weighted graphs for two specific tasks; the minimum spanning tree problem and the shortest path problem.
作者: 嫌惡    時間: 2025-3-28 23:10

作者: Explicate    時間: 2025-3-29 06:47
Zero-Sum Games in Traditional Marketing,rks are large and special methods are commonly needed for the analysis of these networks. The main complex networks which are biological networks, social networks, technological networks and information networks are reviewed with brief description of the algorithms needed to solve some problems in these networks in this chapter.
作者: antecedence    時間: 2025-3-29 09:34
Introduction to Graphse nodes. We review notations used for graphs, basic definitions, vertex degrees, subgraphs, graph isomorphism, graph operations, directed graphs, distance, graph representations, and matrices related to graphs in this chapter.
作者: 帶來墨水    時間: 2025-3-29 13:19

作者: 指令    時間: 2025-3-29 17:38

作者: STIT    時間: 2025-3-29 23:43

作者: 一小塊    時間: 2025-3-30 00:46
Trees and Graph Traversalspanning tree of a graph, and tree traversal algorithms. Two main methods of graph traversal are depth-first search and breadth-first search. We review sequential, parallel, and distributed algorithms for these traversals along with their various applications.
作者: BARK    時間: 2025-3-30 07:13

作者: 創(chuàng)新    時間: 2025-3-30 11:25
Coloringadjacent vertices have the same color in vertex coloring. Edge coloring is the process of assigning colors to the edges of a graph such that no two edges incident to the same vertex are assigned the same color. We review sequential, parallel, and distributed algorithms for vertex and edge coloring in this chapter.
作者: FLINT    時間: 2025-3-30 16:05
Complex Networksrks are large and special methods are commonly needed for the analysis of these networks. The main complex networks which are biological networks, social networks, technological networks and information networks are reviewed with brief description of the algorithms needed to solve some problems in these networks in this chapter.
作者: BOOR    時間: 2025-3-30 17:19

作者: Adj異類的    時間: 2025-3-31 00:00





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