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Original Articles

A Singularly Valuable Decomposition: The SVD of a Matrix

Pages 2-23 | Published online: 30 Jan 2018
 

Additional information

Notes on contributors

Dan Kalman

Dan Kalman is an assistant professor at American University in Washington, DC. From 1985 to 1993 he worked as an applied mathematician in the aerospace industry. It was during that period that he first learned about the SVD and its applications. He is very happy to be teaching again and is avidly following all the discussions and presentations about the teaching of linear algebra.

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