Sparse Days Meeting 2006 at CERFACS
June 15th-16th 2006
A two-day meeting on sparse matrix matters at CERFACS, Toulouse, France, June 15th-16th, 2006.
After the excitement of hosting CSC’05 last year, we return to our normal pattern of holding our regular meeting “Sparse Days at CERFACS”. This meeting will start mid-morning on Thursday June 15th and finish mid-afternoon on the 16th. The main theme this year will be on “optimization”.
PICTURES
Programme of Thursday, June15th
Session on constrained optimization
10.15 – 10.45 : M. Saunders : *The LUSOL algorithm*
11.15 – 11.45 : N. Gould : Finding a well-centred point for a set of polyhedral constraints
11.45 – 12.15 : J. Hall : Parallel matrix inversion for the revised simplex method – A study
12.15 – 12.45 : C. Cartis : A new perspective on the complexity of interior point methods for linear programming
Session on unconstrained optimization
14.30 – 15.00 : J.D. Muller : Simultaneous time-stepping methods for optimal design
15.00 – 15.30 : A. Sartenaer : Trust-region algorithms for multilevel optimization
15.30 – 16.00 : C. Sainvitu : Use of approximate derivatives in the filter-trust-region method for unconstrained optimization
Session on data assimilation
16.00 – 16.30 : N.K. Nichols : Using model reduction in Gauss-Newton optimization with applications to data assimilation
17.00 – 17.30 : J. Tshimanga : On some preconditioning techniques for linear least-squares problems with multiple right-hand sides
17.30 – 18.00 : G. Desroziers : Large least-squares problems in Meteorology
Poster session
M. Rojas : A Comparison of Methods for the Large-Scale Trust-Region Subproblem
Programme of Friday, June 16th
Session on iterative methods for linear systems
09.15 – 09.45 : M. Arioli : A note on GMRES preconditioned by a perturbed $ LDL^T$ decomposition with static pivoting
09.45 – 10.15 : S. Dollar : Implicit factorization constraint preconditioners and permutations
10.15 – 10.45 : S. MacLachlan : Greedy strategies for multilevel partitioning
Session on sparse techniques
11.15 – 11.45 : G. Gundersen : Sparsity in Higher Order Methods in Optimization
11.45 – 12.15 : A. Pothen : The Optimal Computation of Hessians in Optimization
12.15 – 12.45 : Ph. L. Toint : Exploiting sparsity in optimization algorithms
Session on derivative free optimization
14.30 – 15.00 : M. Garcia : *Neuronal networks for derivative free optimization*
15.00 – 15.30 : M. Sosonkina : Performance Studies of a Parallel Global Search on System X
Session on sparse solver
15.30 – 16.00 : T. Slavova : *Efficient triangular solution in sparse out-of-core solvers*
