Linear Algebra / Optimization Seminars CS 531
Fall Quarter 2005
Wednesday, 4:15 - 5:30 p.m.
Gates Computer Sciences, Room 104
Organized by Gene Golub

September 28

Iddo Drori
Postdoctoral Scholar, Department of Statistics, Stanford University

Iterative Thresholding for Rapid Sparse Solution of Underdetermined Linear Systems

October 5

Xiao-Wen Chang
School of Computer Science at McGill University and Visiting Associate Professor, Stanford University

Solving Integer Least Squares Problems

October 12

Ofer Levi
Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Israel

Direct and Exact Inverse PPFFT and Radon transforms Using Orthogonalizing Weights

October 19

Holly Jin
Post Doctoral Fellow, Stanford University

Scalable Sensor Localization Algorithms for Wireless Sensor Networks

October 26

Joseph B. Keller
Professor of Mathematics and Mechanical Engineering, Emeritus

Multiple Eigenvalues

November 2

Joab Winkler
Department of Computer Science, University of Sheffield

The Stability of the Effective Condition Number for Least Squares Problems

November 9

Frank McSherry
Researcher, Microsoft's Silicon Valley Campus

A Uniform Approach to PageRank Acceleration

November 10 (Gates 159. From 12:15 pm to 1:15 pm.)

Mei Kobayashi
Senior Researcher, IBM Tokyo Research Laboratory

Randomized Sampling and Dynamic Rescaling for Mining Overlapping Clusters

November 16

Michael W. Mahoney
Yahoo Research Labs

CUR Matrix Decompositions for Improved Data Analysis

November 30

Joe Grcar
Lawrence Berkeley National Laboratory

John von Neumann's Analysis of Gaussian Elimination and the Invention of Modern Computing

December 7

SungEun Jo
Postdoctoral Scholar, Computer Science Department, Stanford University

Least Squares Problems with Equality Constraints on Residuals: TLS, DLS and Partial Data Analysis using Secular Equations

December 14

Shmuel Friedland
Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago

The Role of Singular Value Decomposition in Data Analysis

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