The 2015 AMMCS-CAIMS Congress
Interdisciplinary AMMCS Conference Series
Waterloo, Ontario, Canada | June 7-12, 2015Minisymposium (ID: SS-MMPND)
Matrix Manifold Problems Subject To Noisy Data
Forbes Burkowski (U of Waterloo), Henry Wolkowicz (U of Waterloo)
Many applications in science and engineering relate to finding low rank matrices subject to various constraints, i.e. matrices restricted to Riemannian manifolds. The tools involved include optimization on matrix manifolds and differential geometry. The applications include molecular conformation, sensor network localization, low rank nonnegative matrix factorization, and matrix sensing.
Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-CAIMS2015 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-CAIMS2015 Proceedings.
If you intend to submit your paper, please go to the AMMCS-CAIMS2015 Proceedings Page. Follow exactly the Author Instructions accessible from that page.