This workshop intends to bring together researchers from the areas of computation, optimisation, computing sciences and engineering interested in the cross-fertilization of ideas around the following theme:
Optimisation often faces unique issues when there is a need to efficiently compute. On the other hand, computational techniques at times, utilise optimisation within their algorithms. Both areas fundamentally need to understand approximation in all its facets, which is also fundamental to computation, as are the associated notions of convergence. Indeed, recent research has blurred the boundaries between optimisation (continuous and discrete), computation and areas of computing science. The area of machine learning has crept into relevance everywhere. Recently, research has turned to its use in computational techniques including the enhancement optimisation algorithms and the cycle of cross-fertilization of ideas has continued to date.
The workshop will be fully online and include keynote and contributed talks.
In addition to their keynote presentations, keynotes will be invited to give a lectorial-discussion session that will promote research questions and engage emerging researchers in these areas.
- Prof Gerlind Plonka-Hoch (University of Goettingen, Germany)
- Prof. Frances Kuo (UNSW)
- Prof Stefan Wild (Argonne, USA)
- Prof Stephen Wright (Wisconsin. USA)
- Prof. Ian Turner (QUT)
- Prof. Claudia Sagastizabal (IMECC-Unicamp and CEMEAI, Brazil)
- Prof Martin Berggren (Umeå University, Sweden)
Local Organising Committee