LEC # | TOPICS | READINGS |
---|---|---|

1 | Introduction | |

2 | The Condition Number | Demmel, James W. "The Probability that a Numerical Analysis Problem is Difficult." Edelman, Alan. "Eigenvalues and Condition Numbers of Random Matrices." Edelman, A. "Eigenvalues and Condition Numbers of Random Matrices." 1989. Ph.D. Thesis. (PDF - 1.3 MB) |

3 | The Largest Singular Value of a Matrix | Szarek, Stanislaw J. "Spaces with Large Distance to l^n_inf and Random Matrices." Geman, Stuart. "A Limit Theorem for the Norm of Random Matrices." Szarek, Stanislaw J. "Condition Numbers of Random Matrices." Edelman, Alan. "Eigenvalues and Condition Numbers of Random Matrices." Kahn, Jeff, Janos Komlos, and Endre Szemeredi. "On the Probability that a Random +/- 1 Matrix is Singular." |

4 | Gaussian Elimination without Pivoting | Golub, Gene H., and Charles F. Van Loan. "Theorem 3.4.3." Chapter 3 in Wilkinson, J. H. "Error Analysis of Direct Methods of Matrix Inversion." |

5 | Smoothed Analysis of Gaussian Elimination without Pivoting | |

6 | Growth Factors of Partial and Complete Pivoting Speeding up GE of Graphs with low Bandwidth or Small Separators | Wilkinson, J. H. "Error Analysis of Direct Methods of Matrix Inversion." Journal of the ACM 8, no. 3 (July 1961): 281-330.
Turner, Jonathan S. "On the Probable Performance of Heuristics for Bandwidth Minimization." Feige, Uri, and Robert Krauthgamer. "Smoothed Analysis." In "Generalized Nested Dissection." |

7 | Spectral Partitioning Introduced | "Spectral Partitioning Works: Planar Graphs and Finite-Element Meshes." Proceedings of the 35th Annual IEEE Conference on Foundations of Computer Science. 1996, pp. 96-105. |

8 | Spectral Partitioning of Planar Graphs | "Spectral Partitioning Works: Planar Graphs and Finite-Element Meshes." Proceedings of the 35th Annual IEEE Conference on Foundations of Computer Science. 1996, pp. 96-105. |

9 | Spectral Paritioning of Well-Shaped Meshes and Nearest Neighbor Graphs Turner's Theorem for Bandwidth of Semi-Random Graphs | Miller, Gary L., Shang-Hua Teng, William Thurston, and Stephen A. Vavasis. "Separators for Sphere-Packings and Nearest Neighbor Graphs." Journal of the ACM 44, no. 1 (January 1997): 1-29.
———. "Geometric Separators for Finite Element Meshes." Turner, Jonathan S. "On the Probable Performance of Heuristics for Bandwidth Minimization." |

10 | Smoothed Analysis and Monotone Adversaries for Bandwidth and Graph Bisection McSherry's Spectral Bisection Algorithm | Feige, Uri, and Joe Kilian. "Heuristics for Semirandom Graph Problems."
Feige, Uri, R. Krauthgamer. "Improved Performance Guarantees for Bandwidth Minimization Heuristics." Unpublished manuscript, November 1998. Available at Robert Krauthgamer's homepage. Boppana, Ravi . "Eigenvalues and Graph Bisection: an Average-Case Analysis." Proceedings of the 28th Annual IEEE Symposium on Foundations of Computer Science, pages 280-285, IEEE Computer Society Press, 1987. Johnson, D. S., C. R. Aragon, L. A. McGeoch, and C. Shevon. "Optimization by Simulated Annealing: an Experimental Evaluation. Part I, Graph Partitioning." "Spectral Partitioning of Random Graphs." 42nd IEEE Symposium on Foundations of Computer Science Proceedings: October 14--17, 2001. Las Vegas, Nevada, USA: IEEE Computer Society Press, 2001, pp. 529-537. Frank McSherry's analysis of a spectral partitioning algorithm for the planted bisection model. |

11 | Introduction to Linear Programming von Neumann's Algorithm, Primal and Dual Simplex Methods Duality | Epelman, Marina, and Rob Freund. "Condition Number Complexity of an Elementary Algorithm for Resolving a Conic Linear System." (PDF) (Courtesy of Marina Epelman and other students from Behavior of Algorithms. Used with permission.) |

12 | Strong Duality Theorem of Linear Programming Renegar's Condition Numbers | Renegar, James. "Incorporating Condition Measures into the Complexity Theory of Linear Programming." SIAM Journal on Optimization 5 (1995): 506-524. |

13 | Analysis of von Neumann's Algorithm | Epelman, Marina, and Rob Freund. "Condition Number Complexity of an Elementary Algorithm for Resolving a Conic Linear System." (PDF) (Courtesy of Marina Epelman and other students from Behavior of Algorithms. Used with permission.) Dunagan, John D, Daniel A. Spielman, and Shang-Hua Teng. "Smoothed Analysis of Renegar's Condition Number for Linear Programming." |

14 | Worst-Case Complexity of the Simplex Method | Amenta, Nina, and Gunter Ziegler. "Deformed Products and Maximal Shadows of Polytopes." Ziegler, Günter M. |

15 | The Expected Number of Facets of the Convex Hull of Gaussian Random Points in the Plane | Uber die convexe hulle von is zufallig gewahlten punkten, I and II. Z. Whar. 2, 75-84; 3, 138-148. (1963; 1964). |

16 | The Expected Number of Facets of the Convex Hull of Gaussian Random Points in the Plane (cont.) | Uber die convexe hulle von is zufallig gewahlten punkten, I and II. Z. Whar. 2, 75-84; 3, 138-148. (1963; 1964). |

17 | The Expected Number of Facets of the Shadow of a Polytope Given by Gaussian Random Constraints | Spielman, Daniel A, Shang-Hua Teng. "Smoothed Analysis: Why The Simplex Algorithm Usually Takes Polynomial Time." |

18 | The Expected Number of Facets of the Shadow of a polytope Given by Gaussian Random Constraints: Distance Bound | Spielman (cont.) |

19 | The Expected Number of Facets of the Shadow of a Polytope Given by Gaussian Random Constraints: Angle Bound and Overview of Phase 1 | Spielman (cont.) |