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Reliable Condition Number Estimation with Random Sampling: Scientific Computing and Matrix Computations SeminarSeminar: Departmental  October 17  12:101 p.m.  380 Soda Hall Ming Gu, UCBerkeley Electrical Engineering and Computer Sciences (EECS) Condition number estimation has traditionally been regarded as a 'quick and dirty' way to compute some estimation of the condition number of a given matrix. Typical condition number estimators usually do a good job of estimating the condition number to within a small factor, but can fail to estimate the condition number to any accuracy. odedsc@cs.berkeley.edu, 5105164321 

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