Special software is required to use some of the files in this section: .m, .mat.
This code was presented by the professor in order to facilitate the learning process and assist in the better understanding of the course material.
1 | Introduction | EppBAP.mat (MAT) | 2 | The Condition Number | airfoil1.mat (MAT) | 3 | The Largest Singular Value of a Matrix | airfoil2.mat (MAT) | 4 | Gaussian Elimination Without Pivoting | art.m (M) | 5 | Smoothed Analysis of Gaussian Elimination Without Pivoting | art3.m (M) | 6 | Growth Factors of Partial and Complete Pivoting
Speeding up GE of Graphs with Low Bandwidth or Small Separators | chew_circle.mat (MAT)
convert.m (M) | 7 | Spectral Partitioning Introduced | crossedGrid.m (M) | 8 | Spectral Partitioning of Planar Graphs | dat.mat (MAT) | 9 | Spectral Paritioning of Well-Shaped Meshes and Nearest Neighbor Graphs
Turner's Theorem for Bandwidth of Semi-Random Graphs | epp.mat (MAT)
eppstein.mat (MAT) | 10 | Smoothed Analysis and Monotone Adversaries for Bandwidth and Graph Bisection
McSherry's Spectral Bisection Algorithm | fastfiedler.m (M)
gauss.m (M) | 11 | Introduction to Linear Programming
von Neumann's Algorithm, Primal and Dual Simplex Methods
Duality | graph2A.m (M)
kahan.m (M)
kahan2.m (M) | 12 | Strong Duality Theorem of Linear Programming
Renegar's Condition Numbers | laplacian.m (M)
mcrack.mat (MAT) | 13 | Analysis of von Neumann's Algorithm | n.mat (MAT) | 14 | Worst-Case Complexity of the Implex Method | noPivot.m (M) | 15 | The Expected Number of Facets of the Convex Hull of Gaussian Random Points in the Plane | ppConj.m (M) | 16 | The Expected Number of Facets of the Convex Hull of Gaussian Random Points in the Plane (cont.) | ppDat.mat (MAT) | 17 | The Expected Number of Facets of the Shadow of a polytope Given by Gaussian random Constraints | spectShow.m (M) | 18 | The Expected Number of Facets of the Shadow of a Polytope Given by Gaussian Random Constraints: Distance Bound | spectShow1.m (M) | 19 | The Expected Number of Facets of the Shadow of a Polytope Given by Gaussian Random Constraints: Angle Bound and Overview of Phase 1 | v4.mat (MAT) |
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