Abstract

A norm minimization problem posed in K-dimensional finite arrays without non-negativity constraints was efficiently solved by Romero Romero. Going beyond we provide here an explicit, exact solution in case the arrays are replaced by L2-Hilbert spaces. Furthermore, we propose a polynomial procedure yielding an approximate optimal solution when non-negativity constraints must be taken into account for K = 2.

Full document

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document
Back to Top
GET PDF

Document information

Published on 14/12/18
Submitted on 30/11/18

Licence: CC BY-NC-SA license

Document Score

0

Views 13
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?