The de la Vallée-Poussin procedure was developed in the early twentieth century. At that time it was considered as a procedure for a best polynomial approximation construction. Around half a century later it was discovered that this procedure relates to the famous Simplex method (by Dantzig). Can this procedure be extended to a multivariate case, where there is no natural ordering? One such possibility will be discussed during this seminar.
About the speaker:
Dr Nadia Sukhorukova completed her PhD in 2004 (Data classification through nonsmooth optimisation, University of Ballarat, currently Federation University Australia). Then, in 2006 she completed another PhD (Remez algorithm for polynomial spline approximation, St-Petersburg State University, Russia). Since then she is interested in the application of nonsmooth optimisation to approximation problems.
Dr. Sukhorukova was working at the University of Ballarat (2004-2012) and then commenced at Swinburne University of Technology in 2012, and has remained as an active Honorary Research Fellow at Federation University Australia.
How to participate in this seminar:
1. Book your nearest ACE facility;
2. Notify the seminar convenor at Federation University (Helen Wade) to notify you will be participating.
No access to an ACE facility? Contact Maaike Wienk to arrange a temporary Visimeet licence for remote access (limited number of licences available – first come first serve)