ABOUT THE CALENDAR
Reliable Condition Number Estimation with Random Sampling: Scientific Computing and Matrix Computations Seminar
Seminar: Departmental | October 17 | 12:10-1 p.m. | 380 Soda Hall
Ming Gu, UC-Berkeley
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.
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