Proceedings of the 2009 International Symposium on Symbolic and Algebraic Computation 2009
DOI: 10.1145/1576702.1576718
|View full text |Cite
|
Sign up to set email alerts
|

Computing cylindrical algebraic decomposition via triangular decomposition

Abstract: Cylindrical algebraic decomposition is one of the most important tools for computing with semi-algebraic sets, while triangular decomposition is among the most important approaches for manipulating constructible sets. In this paper, for an arbitrary finite set F ⊂ R[y1, . . . , yn] we apply comprehensive triangular decomposition in order to obtain an F -invariant cylindrical decomposition of the n-dimensional complex space, from which we extract an F -invariant cylindrical algebraic decomposition of the n-dime… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
121
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 78 publications
(122 citation statements)
references
References 33 publications
1
121
0
Order By: Relevance
“…All CAD computations carried out in this paper were performed with Mathematica's built-in implementation of CAD [24,25]. The computation time is negligible for all of them and could certainly be carried out with other implementations such as, e.g., [11,4,8] as well.…”
Section: Proof the Algorithm Terminates If For Somementioning
confidence: 99%
“…All CAD computations carried out in this paper were performed with Mathematica's built-in implementation of CAD [24,25]. The computation time is negligible for all of them and could certainly be carried out with other implementations such as, e.g., [11,4,8] as well.…”
Section: Proof the Algorithm Terminates If For Somementioning
confidence: 99%
“…For each cell C of it, one evaluates the polynomials of A in n variables at a sample point of the cell and obtains a set of univariate polynomials. Isolating the real roots of them allows one to deduce all the cells of the CAD of R n whose projection are C. In [4], a different method for computing CADs was proposed. It first produces a cylindrical decomposition of the complex space (CCD) through the computation of regular GCDs, and then refines the CCD into a CAD of the real space by isolating real roots of univariate polynomials with real algebraic number coefficients encoded by regular chains and isolating boxes.…”
Section: Introductionmentioning
confidence: 99%
“…Both algorithms are based on triangular decomposition of polynomial systems and real root isolation of regular chains. For this reason, we call the CAD as computed in [4,3] RC-CAD. The algorithm of [4] was firstly implemented in the RegularChains library of Maple 14.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Computation with semialgebraic sets is one of the core subjects in computer algebra and real algebraic geometry. A variety of algorithms have been developed for real system solving, satisfiability checking, quantifier elimination, optimization and other basic problems concerning semialgebraic sets [7,1,5,6,9,10,12,15,18,24,25]. Every semialgebraic set can be represented as a finite union of disjoint cells bounded by graphs of algebraic functions.…”
Section: Introductionmentioning
confidence: 99%