(This session will run until 5:45PM)
3:15 PM-5:45 PM
Meyer Library, Forum Room
The celebrated least squares problem has undergone many developments recently, such as constrained least squares, total least squares, structured/constrained total least squares, etc. These developments share the common idea of taking into account some a priori knowledge in the data A,b, to define a "solution" to an overdetermined system Ax = b.
The purpose of the minisymposium is to present new methods that aim at taking into account different kinds of a priori information on the data and/or the solution. Problems with unknown-but-bounded (structured) uncertainty on the data, structured condition numbers, or recent techniques for large-scale problems are among these new developments. These problems are often linked with robustness and/or regularization issues.
Organizers: Laurent El Ghaoui and Herve Lebret
Ecole Nationale Superieure de Techniques Avancees, France
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