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Certified numerical algorithm for isolating the singularities of the plane projection of generic smooth space curves
- Source :
- Journal of Computational and Applied Mathematics, Journal of Computational and Applied Mathematics, Elsevier, In press, ⟨10.1016/j.cam.2021.113553⟩, Journal of Computational and Applied Mathematics, 2021, 394, pp.113553. ⟨10.1016/j.cam.2021.113553⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; Isolating the singularities of a plane curve is the first step towards computing its topology. For this, numerical methods are efficient but not certified in general. We are interested in developing certified numerical algorithms for isolating the singularities. In order to do so, we restrict our attention to the special case of plane curves that are projections of smooth curves in higher dimensions. This type of curve appears naturally in robotics applications and scientific visualization. In this setting, we show that the singularities can be encoded by a regular square system whose solutions can be isolated with certified numerical methods. Our analysis is conditioned by assumptions that we prove to be generic using transversality theory. We also provide a semi-algorithm to check their validity. Finally, we present experiments, some of which are not reachable by other methods, and discuss the efficiency of our method.
- Subjects :
- Transversality
Plane (geometry)
Plane curve
Applied Mathematics
Numerical analysis
Certified Numerical Algorithms
010103 numerical & computational mathematics
[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
01 natural sciences
Square (algebra)
Generic Singularities
Interval arithmetic
010101 applied mathematics
Computational Mathematics
Singular Curve Topology
Projection (mathematics)
Gravitational singularity
0101 mathematics
Algorithm
Interval Analysis
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 03770427
- Database :
- OpenAIRE
- Journal :
- Journal of Computational and Applied Mathematics, Journal of Computational and Applied Mathematics, Elsevier, In press, ⟨10.1016/j.cam.2021.113553⟩, Journal of Computational and Applied Mathematics, 2021, 394, pp.113553. ⟨10.1016/j.cam.2021.113553⟩
- Accession number :
- edsair.doi.dedup.....969a8d1ac8ca94e413422d2adae7ceb2
- Full Text :
- https://doi.org/10.1016/j.cam.2021.113553⟩