Week 13
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    # Week 13 - Shortest Paths ## Team Team name: Date: Members | Role | Name | |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------| | **Facilitator** keeps track of time, assigns tasks and makes sure all the group members are heard and that decisions are agreed upon. | Cas | | **Spokesperson** communicates group’s questions and problems to the teacher and talks to other teams; presents the group’s findings. | Hlib | | **Reflector** observes and assesses the interactions and performance among team members. Provides positive feedback and intervenes with suggestions to improve groups’ processes. | | | **Recorder** guides consensus building in the group by recording answers to questions. Collects important information and data. | | ## Activities ### Activity 1: Example graph: find the shortest distance **Which of these 15 paths has the shortest distance?** *A,B,E,H,L,P,Q* **Do you need to go over all the possible paths to find the shortest one?** *Not really, but to be sure you found the shortest, you might have to.* ### Activity 2: Time to relax ```c= bool shortest_paths::relax(const graph::vertex & vertex, const graph::edge & edge) { auto point = get_data(vertex); auto point_b = get_data(edge.target()); auto dist = edge.weight() + point->distance(); if (point_b->distance() > dist || !point_b->visited()){ point_b->visit(); point_b->set_distance(&edge, dist); return true; } return false; } ``` ### Activity 3: Depth-first traversal ```c= void shortest_paths::compute(const graph::vertex &source) { // initialize the shortest paths data prepare(source); auto traversal = dfs_traversal(source); traversal.run(); relax_all(traversal.post_order(),true); } ``` ### Activity 4: Topological sort ```c= void shortest_paths::relax_all(std::vector<std::string> vector, bool reversed) { if(!reversed) { for (auto &label : vector) { relax(m_graph[label]); } } else{ std::reverse(vector.begin(), vector.end()); for (auto &label : vector) { relax(m_graph[label]); } } } ``` Post-order(reversed) solves the shortest path problem ### Activity 5: Cyclic graphs ![](https://i.imgur.com/MCPEj26.png) Everything works as expected, except the EC edge. The programm finds a cycle FEG and breaks from the paths to the edge AB, so the distance from A to C will be: A->B->C = 2 + 4 = 6. ![](https://i.imgur.com/3GKg6Iu.png) Everything is good here. The only difference is that in this graph, it finds the EC edge, making the overall distance to C 5. A->H->->F->G->E->c = 1 + 1 + 1 + 1 + 1 = 5 As a result of that, it changes the subsequent vertex D C->D = 5 + 1 = 6. ### Activity 6: Is is possible to find a shorter path? **Is it possible that the shortest path from vertex "a" to vertex "f" has a distance smaller than 16 ? Why (not)?** Yes, because the edge from E to F could have a weight of 0 or 1, then the distance A to F could be less than 16, which is less then 16 **Is it possible that the shortest path from vertex "a" to vertex "e" has a distance smaller than 14 ? Why (not)?** No, there are only 3 ways to get to the vertex E: from D, F and G. The vertexes are non-negative, then it is impossible to get lower value, going from vertixes F and G **Suppose that the unknown edge weights can be negative as well. Is it now possible that the shortest path from vertex "a" to vertex "e" has a distance smaller than 14 ? Why (not)?** Yes, following the path of A->B->E, only if the edge BE has a distance of -2 or lower. Another posibillity would be following the path A->C->F->E, only if the unknown edge FE has a distance of -3 or lower. ### Activity 7: Implementing array-based Dijkstra ### Activity 8: Time complexity of Dijkstra - array-based ### Activity 9: Using a binary heap ### Activity 10: A lazy heap ### Activity 11: Heap-based Dijkstra - time complexity ### Activity 12: Dijkstra’s worst-case time complexity - a closer look ## Look back ### What we've learnt Fill in... ### What were the surprises Fill in... ### What problems we've encountered Fill in... ### What was or still is unclear Fill in... ### How did the group perform? How was the collaboration? What were the reasons for hick-ups? What worked well? What can be improved next time?

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