Abstract
Large matrices are often accessed as a row-order stream. We consider the setting where rows are time-sensitive (i.e. they expire), which can be described by the sliding-window row-order model, and provide the first (1+ϵ)-approximation of Schatten p-norms in this setting. Our main technical contribution is a proof that Schatten p-norms in row-order streams are smooth, and thus fit the smooth-histograms technique of Braverman and Ostrovsky (FOCS 2007) for sliding-window streams.
Original language | English |
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Article number | 106254 |
Journal | Information Processing Letters |
Volume | 177 |
DOIs | |
State | Published - Aug 2022 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Signal Processing
- Computer Science Applications