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Office hours: MWR 4:20-5:30 inside or just outside Elliott 162-

Office hours: MWR 4:20-5:30 inside or just outside Elliott 162- tell me in class that you would like to attend. For those of you who cannot stay:

stephanie-potter
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Office hours: MWR 4:20-5:30 inside or just outside Elliott 162-

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  1. Office hours: MWR 4:20-5:30 inside or just outside Elliott 162- tell me in class that you would like to attend. For those of you who cannot stay: MWR: 1:30-2:30pm. But let me know 24 hours in advance you would like me to come in early. We will meet outside Elliott 162- Please estimate the length of time you require. I am also very happy to provide e-mail help: (wendym@csc.UVic.ca). Important note: to ensure your e-mail gets through the spam filter, use your UVic account. I answer all e-mails that I receive from my students.

  2. Submissions for the Project For me to have enough room for feedback, it is critical that all written project submissions should be in at least a 12 point font with 1.5 spacing. Overheads should be printed with one slide per page (not 2-4). All project components are cumulative. This means that your written project proposal forms a starting point for the written research proposal which is then used to make the final project report. Similarly, your oral project proposal forms a starting point for the oral research proposal which is then used to create the final project report. You will be given feedback at every stage and can incorporate these suggestions to improve your next submission.

  3. Project Proposal (1-2 pages) The student should have chosen a project topic by this point. A short report should be turned in describing the problem the student has chosen to study. I want you to define ALL relevant terminology for your project starting from the definitions of a graph, a vertex and an edge. You do not need to include any literature review or progress on the research at this stage- just the problem defintion.

  4. Oral Project Proposal (1-3 slides) The student should prepare slides which describe the problem chosen, perhaps with an appropriate example. Again, include even the elementary definitions. Pictures speak louder than words- make sure you illustrate the relevant concepts using approriate pictures. If you want to use a computer to present your final talk, please print the slides onto paper (one slide per page) to hand them in. If you plan to use celluloid, you may design your slides on paper to hand in, then copy them to celluloid later (after getting feedback from me).

  5. An undirected graph G consists of a set V of vertices and a set E of edges where each edge in E is associated with an unordered pair of vertices from V. The degree of a vertex v is the number of edges incident to v. If (u, v) is in E then u and v are adjacent. A simple graph has no loops or multiple edges. Exercise: prove by induction that a simple graph G on n vertices has at most n(n-1)/2 edges.

  6. Internet taken from: http://www.netdimes.org/asmap.png

  7. Travelling Salesman • From: • Ehsan Moeinzadeh • Guildford, Surrey, • United Kingdom

  8. Graphs representing chemical molecules

  9. Data Structures for Graphs How can graphs be stored in the computer? How does this affect the time complexity of algorithms for graphs?

  10. A cycle of a graph is an alternating sequence of vertices and edges of the form v0, (v0, v1), v1, (v1, v2), v2, (v2, v3), … ,vk-1, (vk-1, vk), vk where except for v0 = vk the vertices are distinct. Exercise: define path, define connected. A tree is a connected graph with no cycles. A subgraph H of a graph G is a graph with V(H)  V(G) and E(H)  E(G). H is spanning if V(H) = V(G). Spanning tree- spanning subgraph which is a tree.

  11. Strange Algorithms Input: a graph G Question: does G have a spanning tree? This can be answered by computing a determinant of a matrix and checking to see if it is zero or not. For lower bound arguments, it is essential to not make too many assumptions about how an algorithm can solve a problem.

  12. Adjacency matrix:

  13. Adjacency list:

  14. Adjacency lists: • Lists can be stored: • sorted, • in arbitrary order, • in some other specific order- for example a rotation system has the neighbours of each vertex listed in clockwise order in some planar embedding of a graph (a picture drawn on the plane with no edges crossing).

  15. Data structures for graphs: • n= number of vertices • m= number of edges • Adjacency matrix: Space θ(n2) • Adjacency list: Space θ(n + m) • How long does it take to do these operations: • Insert an edge? • Delete an edge? • Determine if an edge is present? • Traverse all the edges of a graph?

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