Cordian: New page: =='''Overview'''== Recovering structures or models from sampling or measurements is an operation, which appears in many domains and applications. The reconstruction of sparse models from ...

Cordian — Tue, 17 Jan 2017 22:10:51 GMT

New page: =='''Overview'''== Recovering structures or models from sampling or measurements is an operation, which appears in many domains and applications. The reconstruction of sparse models from ...

New page

=='''Overview'''==

Recovering structures or models from sampling or measurements is an operation, which appears in many domains and applications.
The reconstruction of sparse models from sequences of moments is such a problem, where algebra and geometry are playing an important role.
Problems such as cubature formula, sparse interpolation, exponential fitting, polynomial optimization or tensor decomposition can be reformulated in these terms.
The minisymposium will to bring together various aspects of the theory of moments and sparse representations and explore their interactions with algebraic geometry and its applications.

=='''Organizer'''==

Bernard Mourrain (INRIA), Cordian Riener (Konstanz)

=='''Confirmed Speakers'''==

George Labahn
University of Waterloo

Bruce Reznick
University of Illinois at Urbana-Champaign

Greg Blekherman
Georgia Institute of Technology

Salma Kuhlmann
University of Konstanz

Bernad Mourrain
INRIA Sophia Antipolis

Sparse Representations from Moments - Revision history

Cordian: New page: =='''Overview'''== Recovering structures or models from sampling or measurements is an operation, which appears in many domains and applications. The reconstruction of sparse models from ...