Organizers:
John Abbott (in email
address please replace triple t by double t), University of Kassel, Germany
Overview:
Symbolic Computation is concerned with the algorithmic
determination of exact solutions to complex mathematical problems.
More recent developments in the area of Satisfiability Checking (especially SMT) are
starting to tackle similar problems but with different algorithmic and
technological solutions.
Satisfiability Checking is an essential back-end for assuring the security and the safety of computer systems. In various scientific areas, Symbolic Computation is able to deal with large mathematical problems far beyond the scope of pencil-and-paper solutions.
Currently the two communities are largely disjoint and unaware of the achievements of one another, despite there being strong reasons for them to collaborate. The SC-square project aims to build bridges between the communities unifying their strengths, stimulating cross-fertilization, and leading to the development of radically improved software tools.
If you are interested in proposing a talk (25 mins), please send an abstract to the
organizers by 29 May 2016.
Please use this
LaTeX template
for your abstract, and send both the LaTeX source and a compiled PDF version.
| Author(s) | Title | |
| James Davenport+SC2 consortium | SC2: Satisfiability Checking meets Symbolic Computation | |
| Anna Bigatti | Implicitization with Groebner Bases: the well known algorithm and algorithms which work | |
| (Associated paper) | ||
| Stephen Forrest | Integration of a SAT Solver Into Maple |
| Author(s) | Title | |
| James Davenport | What does "without loss of generality" mean | |
Go to:
ACA 2016 main page