Date
Thu, 14 Jun 2018
Time
14:00 - 15:00
Location
L4
Speaker
Prof. Joel Tropp
Organisation
Caltech

Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. Therefore, it is desirable to have tools for studying random matrices that are flexible, easy to use, and powerful. Over the last fifteen years, researchers have developed a remarkable family of results, called matrix concentration inequalities, that balance these criteria. This talk offers an invitation to the field of matrix concentration inequalities and their applications.

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