IMA 2018 - 6th IMA Conference on Numerical Linear Algebra and Optimization
Topics/Call fo Papers
The IMA and the University of Birmingham are pleased to announce the Sixth IMA Conference on Numerical Linear Algebra and Optimization. The meeting is organised in cooperation with SIAM, whose members will receive the IMA members’ registration rate.
Scope
The success of modern codes for large-scale optimization 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 optimization 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.
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 optimization.
Large-scale nonlinear and semidefinite programming.
Effect of round-off errors, stopping criteria, embedded iterative procedures.
Optimization issues for matrix polynomials
Fast matrix computations.
Compressed/sparse sensing
PDE-constrained optimization
Distributed computing and optimization
Applications and real time optimization
Instructions for authors
Contributed talks and mini-symposia talks will be accepted on the basis of a one page extended abstract which should be submitted by 28 February 2018 online at https://my.ima.org.uk. Authors will be advised of acceptance by 31 March 2018. A book of abstracts will be made available to delegates at the conference.
Invited speakers
Amir Beck (Tel Aviv University)
Julian Hall (University of Edinburgh)
Misha Kilmer (Tufts University)
Dominique Orban (Polytechnique Montréal)
Alison Ramage (University of Strathclyde)
Francoise Tisseur (University of Manchester)
Luis Nunes Vicente (University of Coimbra)
Steve Wright (University of Wisconsin)
Scope
The success of modern codes for large-scale optimization 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 optimization 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.
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 optimization.
Large-scale nonlinear and semidefinite programming.
Effect of round-off errors, stopping criteria, embedded iterative procedures.
Optimization issues for matrix polynomials
Fast matrix computations.
Compressed/sparse sensing
PDE-constrained optimization
Distributed computing and optimization
Applications and real time optimization
Instructions for authors
Contributed talks and mini-symposia talks will be accepted on the basis of a one page extended abstract which should be submitted by 28 February 2018 online at https://my.ima.org.uk. Authors will be advised of acceptance by 31 March 2018. A book of abstracts will be made available to delegates at the conference.
Invited speakers
Amir Beck (Tel Aviv University)
Julian Hall (University of Edinburgh)
Misha Kilmer (Tufts University)
Dominique Orban (Polytechnique Montréal)
Alison Ramage (University of Strathclyde)
Francoise Tisseur (University of Manchester)
Luis Nunes Vicente (University of Coimbra)
Steve Wright (University of Wisconsin)
Other CFPs
- Modeling and Optimization: Theory and Applications (DIMACS/TRIPODS/MOPTA 2018)
- 9th International Conference on Numerical Methods and Applications NM&A'18
- INTERNATIONAL WORKSHOP AND CONFERENCE ON TOPOLOGY & APPLICATIONS
- 12th International Conference on Agricultural, Biological and Environmental Sciences
- 22nd Annual IEEE High Performance Extreme Computing Conference
Last modified: 2018-04-16 14:24:27