Udemy - Graph Theory in Depth

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Udemy - Graph Theory in Depth (Size: 2.2 GB)
  001 BFS and DFS.mp4 65.8 MB
  001 BFS and DFS_en.vtt 15.6 KB
  001 Edge Connectivity.mp4 58.4 MB
  001 Edge Connectivity_en.vtt 12.7 KB
  001 Introduction to Eulerian Graphs.mp4 47.3 MB
  001 Introduction to Eulerian Graphs_en.vtt 10.4 KB
  001 Introduction to Planar Graphs.mp4 46.7 MB
  001 Introduction to Planar Graphs_en.vtt 13.5 KB
  001 Introduction to Trees.mp4 89.8 MB
  001 Introduction to Trees_en.vtt 22.2 KB
  001 Introduction.mp4 113.6 MB
  001 Introduction_en.vtt 18.8 KB
  001 Spanning Trees and Adjacency Matrix.mp4 56 MB
  001 Spanning Trees and Adjacency Matrix_en.vtt 12.6 KB
  001 Walks in a Graph.mp4 73.1 MB
  001 Walks in a Graph_en.vtt 15.6 KB
  002 Centers in Trees.mp4 68.6 MB
  002 Centers in Trees_en.vtt 17.1 KB
  002 Connected Graphs.mp4 63.2 MB
  002 Connected Graphs_en.vtt 15.3 KB
  002 Dijkstra's Shortest Path Algorithm.mp4 24.4 MB
  002 Dijkstra's Shortest Path Algorithm_en.vtt 5.3 KB
  002 Euler Formula and Maximal Planar Graphs.mp4 36.2 MB
  002 Euler Formula and Maximal Planar Graphs_en.vtt 10.8 KB
  002 Fleury Algorithm for Eulerian Graphs.mp4 55.1 MB
  002 Fleury Algorithm for Eulerian Graphs_en.vtt 14.1 KB
  002 Specific Classes of Graphs.mp4 51.8 MB
  002 Specific Classes of Graphs_en.vtt 12.6 KB
  002 The number of Spanning Trees.mp4 45.4 MB
  002 The number of Spanning Trees_en.vtt 10.7 KB
  002 Vertex Connectivity and Whitney Theorem.mp4 62.6 MB
  002 Vertex Connectivity and Whitney Theorem_en.vtt 14.4 KB
  003 Blocks in a Connected Graph.mp4 25.4 MB
  003 Blocks in a Connected Graph_en.vtt 5.8 KB
  003 Graph Isomorphism.mp4 63.6 MB
  003 Graph Isomorphism_en.vtt 14.5 KB
  003 Introduction to Hamiltonian Graphs.mp4 70.6 MB
  003 Introduction to Hamiltonian Graphs_en.vtt 13.6 KB
  003 Kuratowski Theorem.mp4 37.8 MB
  003 Kuratowski Theorem_en.vtt 10.6 KB
  003 Minimum Cost Spanning Trees.mp4 97.4 MB
  003 Minimum Cost Spanning Trees_en.vtt 19.8 KB
  003 Problem Sheet.mp4 64.8 MB
  003 Problem Sheet_en.vtt 14.9 KB
  003 Regular Graphs and Degree Sequence.mp4 104.2 MB
  003 Regular Graphs and Degree Sequence_en.vtt 21.1 KB
  004 Introduction to Network Flow.mp4 128.3 MB
  004 Introduction to Network Flow_en.vtt 18.3 KB
  004 Problem Sheet.mp4 64.2 MB
  004 Problem Sheet_en.vtt 15.6 KB
  004 Subgraphs and Digraphs.mp4 35.3 MB
  004 Subgraphs and Digraphs_en.vtt 8 KB
  004 Sufficient Condition for Hamiltonian Graphs.mp4 73.8 MB
  004 Sufficient Condition for Hamiltonian Graphs_en.vtt 18 KB
  005 Ford-Fulkerson Algorithm and Minimum Cut Problem.mp4 126.5 MB
  005 Ford-Fulkerson Algorithm and Minimum Cut Problem_en.vtt 18.7 KB
  005 Problem Sheet.mp4 82.4 MB
  005 Problem Sheet_en.vtt 19.2 KB
  006 Minimum Cut.mp4 64.3 MB
  006 Minimum Cut_en.vtt 12.5 KB
  007 Disjoint Paths.mp4 46.7 MB
  007 Disjoint Paths_en.vtt 10.6 KB
  008 Problem Sheet.mp4 34.2 MB
  008 Problem Sheet_en.vtt 10.7 KB
  39351872-L2udemy.pdf 476.2 KB
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  39354022-GTudemyTut-1.pdf 59.8 KB
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  39354180-L7upload.pdf 848.2 KB
  39354682-GraphTheoryTut-2Udemy.pdf 107 KB
  39356074-L8upload.pdf 839.6 KB
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  39356276-GraphTheoryTut-3Udemy.pdf 113.7 KB
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  39496190-GraphTheoryTut-4Udemy.pdf 113.9 KB
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  40304970-blocks.pdf 423.8 KB
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  40523506-GraphTheoryTut-6.pdf 95.3 KB
  40709010-L27.pdf 290.5 KB
  40716052-L28.pdf 597.8 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 101 total files

Description


Graph Theory in Depth
https://CourseMega.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.15 GB | Duration: 8h 36m

Graph Theory for Undergraduates

What you'll learn
A depth knowledge of graph theory
An exposure to graph algorithms
Analytical thinking
Different approaches for addressing theoretical problems in mathematics
Requirements
No prerequisites
Description
The importance of graph theory can never be exaggerated considering the wide range of its applications, from social sciences to electrical engineering and computer science to management. The rigorous foundation of the subject is thus desirable. The objective of the course is, in addition to logical foundations, theoretical developments and development of the basic skills to tackle problems in Graph theory. It also aimed at understanding how various problems arising from real life or sciences as well as recreational puzzles can be converted to graph theoretic problems like shortest paths, network flows, chromatic numbers, connectivity etc.

This course begins with the basics of Graphs, i.e., it starts with the Simple Graphs and types of Graphs. Then it discusses the Isomorphism in Graphs along with the Euler & Hamiltonian Graphs. After that it talks about Trees and Spanning Trees, Connectivity, Cut Set and Shortest Path, Matrix representation of Graphs, and Maximal Flow in a Network. At the end, it discusses Graph Connectivity, Graph Colouring, Independence number and Chromatic Number.

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