Hosted by:
2nd IMA Conference on Numerical Linear Algebra and Optimisation
University of Birmingham, UK
The success of modern codes for large-scale optimisation is heavily dependent on the use of
effective tools of numerical linear algebra. On the other hand, many problems in numerical linear
algebra lead to linear, nonlinear or semidefinite optimisation problems. The purpose of the
conference is to bring together researchers from both communities and to find and communicate
points and topics of common interest. The meeting
is co-sponsored by SIAM and ILAS, whose members will receive the IMA members’ registration
rate.
Conference topics include any subject that could be of interest to both communities, such as:
• Direct and iterative methods for large sparse linear systems.
• Eigenvalue computation and optimisation.
• Large-scale nonlinear and semidefinite programming.
• Effect of round-off errors, stopping criteria, embedded iterative procedures.
• Optimisation issues for matrix polynomials.
• Fast matrix computations.
• Compressed/sparse sensing.
• PDE-constrained optimisation.
• Applications and real time optimisation.
Invited Speakers
Larry Biegler (Carnegie Mellon University)
Nick Higham (University of Manchester)
Adrian Lewis (Cornell University)
Volker Mehrmann (Technische Universität Berlin)
Mike Saunders (Stanford University)
Valeria Simoncini (Università di Bologna)
Jared Tanner (University of Edinburgh)
Andy Wathen (University of Oxford)