Computational Linear Algebra and Optimization for the Digital Economy

Oct 31 2013 - 09:30
Nov 1 2013 - 17:00

International Center for Mathematical Sciences,
15 South College Street,

Short description of the event: 

"Big data" and the digital economy are hot-topics of research at present. As our world becomes digitized (ebooks and library resources, government databases, stock exchange information, Google, social networking, telecommunications, smart-grids, . . . ) huge amounts of data is available to the public. However, the efficient extraction of relevant information from these data banks presents a real challenge for modern day society. More and more often, search methods will require advanced optimization and numerical linear algebra techniques that are scalable to problems of huge dimension.

This workshop brings together world experts in computational linear algebra and optimization, and presents an excellent opportunity for open discussion on cutting-edge research in "big data" and the digital economy. Further information about the workshop (including details of speakers and talks) are available on the workshop website.

Keynote speaker: Prof. Michael Saunders (Stanford University)

Confirmed speakers:
Stefania Bellavia (University of Florence)
Coralia Cartis (Oxford University)
Iain Duff (CERFACS)
Kimonas Fontoulakis (University of Edinburgh)
Julian Hall (University of Edinburgh)
Des Higham (University of Strathclyde)
Nick Higham (University of Manchester)
Benedetta Morini (University of Florence)
Michael Saunders (Stanford University)
Jennifer Scott (Rutherford Appleton Laboratory)
David Silvester (University of Manchester)
Rachael Tappenden (University of Edinburgh)

We encourage PhD students and Postdocs to submit contributed posters.

Organisers: Rachael Tappenden and Jacek Gondzio
Edinburgh Research Group on Optimization (ERGO)