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Graph theory algorithms visualized

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Unleash the power of graph theory with cutting-edge algorithms


1. Introduction
  • 1.1 introduction.pptx
  • 1. Introduction to graph theory
  • 2. [IMPORTANT] Before we start.html
  • 3. Python crash course (optional).html
  • 4.1 types and terms.pptx
  • 4. Terminology and types of graphs

  • 2. Graph representation
  • 1.1 adjacency list.pptx
  • 1.2 graph adj list.zip
  • 1.3 graphadjlist.zip
  • 1. Adjacency list representation
  • 2.1 adjacency matrix.pptx
  • 2.2 graph adj mat.zip
  • 2.3 graphadjmat.zip
  • 2. Adjacency matrix representation
  • 3.1 adj list vs adj mat.pptx
  • 3. Adjacency list vs adjacency matrix
  • 4. Quiz Adjacency lists and matrices.html

  • 3. Graph traversal
  • 1.1 depth-first search.pptx
  • 1.2 dfs visualization.zip
  • 1.3 dfs.zip
  • 1.4 dfs.zip
  • 1. Depth-first search (DFS) algorithm
  • 2. Problem Path exists in a graph.html
  • 3.1 dfs path exists.pptx
  • 3.2 dfs path exists.zip
  • 3.3 dfspathexists.zip
  • 3. Solution Path exists in a graph
  • 4.1 bfs visualization.zip
  • 4.2 bfs.zip
  • 4.3 bfs.zip
  • 4.4 breadth first search.pptx
  • 4. Breadth-first search (BFS) algorithm
  • 5. Problem Minimum edges from start to end.html
  • 6.1 bfs path exists.pptx
  • 6.2 bfs min edges.zip
  • 6.3 bfsminedges.zip
  • 6. Solution Minimum edges from start to end
  • 7.1 bfs grid.zip
  • 7.2 bfsgrid.zip
  • 7.3 dfs and bfs in hidden.pptx
  • 7.4 dfs grid.zip
  • 7.5 dfsgrid.zip
  • 7.6 Flood fill algorithm YouTube video.html
  • 7. DFS and BFS in implicit graphs

  • 4. Topological sort
  • 1.1 topological sort intro.pptx
  • 1. What is topological sort
  • 2.1 topological sort dfs.pptx
  • 2.2 topsort dfs.zip
  • 2.3 topsortdfs.zip
  • 2. DFS-based topological sort algorithm
  • 3.1 topological sort bfs.pptx
  • 3.2 topsort bfs.zip
  • 3.3 topsortbfs.zip
  • 3. BFS-based topological sort algorithm (Kahns algorithm)
  • 4. Problem Find all possible recipes.html
  • 5.1 find recipes.pptx
  • 5.2 find possible recipes.zip
  • 5.3 findpossiblerecipes.zip
  • 5. Solution Find all possible recipes problem
  • 6. Quiz Topological sort.html

  • 5. Shortest path problem
  • 1.1 shortest path intro.pptx
  • 1. Introduction
  • 2.1 Binary heaps YouTube video.html
  • 2.2 dijkstra.zip
  • 2.3 dijkstra.zip
  • 2.4 dijkstras algorithm.pptx
  • 2.5 fibonacciheap.zip
  • 2.6 tuple.zip
  • 2. Dijkstras algorithm
  • 3.1 bellman ford.pptx
  • 3.2 bellman ford.zip
  • 3.3 bellmanford.zip
  • 3.4 edge.zip
  • 3.5 tuple.zip
  • 3. Bellman-Ford algorithm
  • 4.1 floyd warshall.pptx
  • 4.2 floyd warshall.zip
  • 4.3 floydwarshall.zip
  • 4. Floyd-Warshall algorithm
  • 5.1 johnson.zip
  • 5.2 johnson.zip
  • 5.3 johnsons.pptx
  • 5. Johnsons algorithm
  • 6.1 shortest path with unweighted graphs.pptx
  • 6.2 shortest path unweighted.zip
  • 6.3 shortestpathunweighted.zip
  • 6. Shortest path in unweighted graphs
  • 7.1 dag shortest path.pptx
  • 7.2 shortest path dag.zip
  • 7.3 shortestpathdag.zip
  • 7. Shortest path in directed acyclic graphs

  • 6. Trees
  • 1.1 is tree.zip
  • 1.2 istree.zip
  • 1.3 trees introduction.pptx
  • 1. What is a tree
  • 2.1 graph to out-tree.pptx
  • 2.2 to out tree.zip
  • 2.3 toouttree.zip
  • 2. Out-trees (arborescence) and graph to out-tree conversion
  • 3.1 distance k.zip
  • 3.2 distancek.zip
  • 3.3 nodes at a distance k.pptx
  • 3. Solution All nodes distance k in a tree problem
  • 4. Quiz What is a tree.html

  • 7. Minimum spanning trees
  • 1.1 find spanning tree.zip
  • 1.2 findspanningtree.zip
  • 1.3 mst-intro.pptx
  • 1. What is a (minimum) spanning tree
  • 2.1 fibonacciheap.zip
  • 2.2 prim.zip
  • 2.3 prim.pptx
  • 2.4 prim.zip
  • 2.5 tuple.zip
  • 2. Prims algorithm
  • 3.1 Disjoint-set data structure YouTube video.html
  • 3.2 disjointset.zip
  • 3.3 kruskal.zip
  • 3.4 kruskal.pptx
  • 3.5 kruskal.zip
  • 3. Kruskals algorithm
  • 4. Problem Min cost to connect all points.html
  • 5.1 min cost to connect all points.pptx
  • 5.2 min cost connect.zip
  • 5.3 mincostconnect.zip
  • 5. Solution Min cost to connect all points problem
  • 6. Quiz Minimum spanning trees.html

  • 8. Eulerian and Hamiltonian pathscycles
  • 1.1 eulerian trail intro.pptx
  • 1. What is a Eulerian pathcycle
  • 2.1 hierholzer.zip
  • 2.2 hierholzer.pptx
  • 2.3 hierholzer.zip
  • 2. Hierholzers algorithm
  • 3. Problem Reconstruct itinerary.html
  • 4.1 reconstruct itinerary.pptx
  • 4.2 reconstruct itinerary.zip
  • 4.3 reconstructitinerary.zip
  • 4. Solution Reconstruct itinerary
  • 5.1 hamiltonian paths.pptx
  • 5. What is a Hamiltonian pathcycle
  • 6.1 hamiltonian backtracking.pptx
  • 6.2 hamiltonian backtracking.zip
  • 6.3 hamiltonianbacktracking.zip
  • 6. Hamiltonian pathcycle finding algorithms

  • 9. Graph coloring
  • 1.1 graph coloring.pptx
  • 1. Introduction to graph coloring
  • 2.1 is bipartite.pptx
  • 2.2 two colorability.zip
  • 2.3 twocolorability.zip
  • 2. Checking 2-colorability (bipartite graph)
  • 3.1 k colorability.pptx
  • 3.2 k colorability.zip
  • 3.3 kcolorability.zip
  • 3. Checking k-colorability with backtracking
  • 4.1 greedy coloring.pptx
  • 4.2 greedy coloring.zip
  • 4.3 greedycoloring.zip
  • 4. Greedy coloring
  • 5.1 coloring heuristics.pptx
  • 5.2 dsatur.zip
  • 5.3 dsatur.zip
  • 5.4 welsh powell.zip
  • 5.5 welshpowell.zip
  • 5. Heuristics (Welsh-Powell, DSatur)
  • 6. Problem Sudoku solver.html
  • 7.1 sudoku coloring.pptx
  • 7.2 sudoku solver.zip
  • 7.3 sudokusolver.zip
  • 7. Solution Lets make a Sudoku solver
  • 8. Quiz Graph coloring.html
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    تاریخ انتشار: ۲۲ فروردین ۱۴۰۲
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