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Abstract
We discuss issues of problem formulation for algorithms in real algebraic geometry, focussing on quantifier elimination by cylindrical algebraic decomposition. We recall how the variable ordering used can have a profound effect on both performance and output and summarise what may be done to assist with this choice. We then survey other questions of problem formulation and algorithm optimisation that have become pertinent following advances in CAD theory, including both work that is already published and work that is currently underway.
With implementations now in reach of real world applications and new theory meaning algorithms are far more sensitive to the input, our thesis is that intelligently formulating problems for algorithms, and indeed choosing the correct algorithm variant for a problem, is key to improving the practical use of both quantifier elimination and symbolic real algebraic geometry in general.
With implementations now in reach of real world applications and new theory meaning algorithms are far more sensitive to the input, our thesis is that intelligently formulating problems for algorithms, and indeed choosing the correct algorithm variant for a problem, is key to improving the practical use of both quantifier elimination and symbolic real algebraic geometry in general.
Original language  English 

Title of host publication  Proceedings of XIV Encuentro de Álgebra Computacional y Aplicaciones 
Subtitle of host publication  Barcelona, June 1820 2014 
Pages  107110 
Publication status  Published  2014 
Keywords
 symbolic computation
 computer algebra
 problem formulation
 computational algebraic geometry
 real algebraic geometry
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 1 Finished

Real Geometry and Connectedness via Triangular Description
Davenport, J. (PI), Bradford, R. (CoI), England, M. (CoI) & Wilson, D. (CoI)
Engineering and Physical Sciences Research Council
1/10/11 → 31/12/15
Project: Research council