ACM 204: Matrix Analysis
- Creators
- Tropp, Joel A.
Abstract
These lecture notes document ACM 204 as taught in Winter 2022, and they are primarily intended as a reference for students who have taken the class. The notes are prepared by student scribes with feedback from the instructor. The notes have been edited by the instructor to try to correct his own failures of presentation. All remaining errors and omissions are the fault of the instructor. Please be aware that these notes reflect material presented in a classroom, rather than a formal scholarly publication. In some places, the notes may lack appropriate citations to the literature. There is no claim that the arrangement or presentation of the material is primarily due to the instructor. The notes also contain the projects of students who wished to share their work. They received feedback and made revisions, but the projects have not been edited. They represent the students' individual work.
Additional Information
© 2022 Joel A. Tropp. Typeset on August 22, 2022. These notes were transcribed by students taking the course in Winter 2022. They are Eray Atay, Jag Boddapati, Edoardo Calvello, Ruizhi Cao, Anthony (Chi-Fang) Chen, Nicolas Christianson, Matthieu Darcy, Rohit Dilip, Ethan Epperly, Salvador Gomez, Taylan Kargin, Eitan Levin, Elvira Moreno, Nicholas Nelson, Roy (Yixuan) Wang, and Jing Yu. Without their care and attention, we would not have such an excellent record.Attached Files
Accepted Version - acm204-w22-matrix-analysis-sm.pdf
Files
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Additional details
- Alternative title
- Randomized Algorithms for Matrix Computations
- Eprint ID
- 114268
- Resolver ID
- CaltechAUTHORS:20220412-221559139
- Created
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2022-04-13Created from EPrint's datestamp field
- Updated
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2022-08-29Created from EPrint's last_modified field
- Caltech groups
- Caltech CMS Lecture Notes
- Series Name
- Caltech CMS Lecture Notes
- Series Volume or Issue Number
- 2022-01