PPT-Percolation Processes Rajmohan Rajaraman

Northeastern University Boston May 2012 Chennai Network Optimization Workshop Percolation Processes 1 Outline Branching processes Idealized model of epidemic spread Percolation theory Epidemic spread in an infinite graph. T state 8712X action or input 8712U uncertainty or disturbance 8712W dynamics functions XUW8594X w w are independent RVs variation state dependent input space 8712U 8838U is set of allowed actions in state at time brPage 5br Policy action is function etc. . [Closely following the text by R. . Zallen. ]. R. . Zallen. , . The Physics of Amorphous Solids. , Wiley-VCH, 2004.. This figure, from page 137 of . Zallen. , describes the problem in a 2D square mesh.. Simulating percolation models. Guillermo . Amaral. Caesar. . Systems. - Argentina. Guillermo Amaral. 2. Guillermo Amaral. 3. Guillermo Amaral. 4. A virtual lab. Guillermo Amaral. 5. Percolation deals with…. Rajmohan Rajaraman. Northeastern University, Boston. May 2012. Chennai Network Optimization Workshop. Percolation Processes. 1. Outline. Branching processes. Idealized model of epidemic spread. Percolation theory. MMDS . Secs. . 3.2-3.4. . Slides adapted from: . J. . Leskovec. , A. . Rajaraman. , J. Ullman: Mining of Massive Datasets, . http://www.mmds.org. October 2014. Task: Finding . Similar Documents. Goal:. Link . Analysis, PageRank. Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. consequences on diffusion, properties . www.msm.cam.ac.uk. /phase-trans. The Pearlite Reaction. 1 µm. upper bainite. Sheaf is a rough object. plastic zone . hydrogen. f. ragmentation of . martensite. MMDS . Secs. . 3.2-3.4. . Slides adapted from: . J. . Leskovec. , A. . Rajaraman. , J. Ullman: Mining of Massive Datasets, . http://www.mmds.org. October 2014. Task: Finding . Similar Documents. Goal:. consequences on diffusion, properties . www.msm.cam.ac.uk. /phase-trans. The Pearlite Reaction. 1 µm. upper bainite. Sheaf is a rough object. plastic zone . hydrogen. f. ragmentation of . martensite. (Part . 2). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. 2). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. . [Closely following the text by R. . Zallen. ]. R. . Zallen. , . The Physics of Amorphous Solids. , Wiley-VCH, 2004.. This figure, from page 137 of . Zallen. , describes the problem in a 2D square mesh.. Zallen. ]. R. . Zallen. , . The Physics of Amorphous Solids. , Wiley-VCH, 2004.. This figure, from page 137 of . Zallen. , describes the problem in a 2D square mesh.. At some . precise. critical number of random snips, current flow stops.. . . 1. Bring your own Phase Diagram. TIFR, Mumbai, India. Dec. 13-14, 2010. Brijesh. K . Srivastava. Department of Physics. West Lafayette, IN. USA. 2. The general formulation of the percolation problem is concerned.