Grid Methods in Computational Real Algebraic (and Semialgebraic) Geometry
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 373-396 |
Journal / Publication | Chinese Annals of Mathematics. Series B |
Volume | 39 |
Issue number | 2 |
Online published | 2 Feb 2018 |
Publication status | Published - Mar 2018 |
Link(s)
Abstract
In recent years, a family of numerical algorithms to solve problems in real algebraic and semialgebraic geometry has been slowly growing. Unlike their counterparts in symbolic computation they are numerically stable. But their complexity analysis, based on the condition of the data, is radically different from the usual complexity analysis in symbolic computation as these numerical algorithms may run forever on a thin set of ill-posed inputs.
Research Area(s)
- Complexity, Condition, Numerical algorithms, Semialgebraic geometry
Citation Format(s)
Grid Methods in Computational Real Algebraic (and Semialgebraic) Geometry. / CUCKER, Felipe.
In: Chinese Annals of Mathematics. Series B, Vol. 39, No. 2, 03.2018, p. 373-396.
In: Chinese Annals of Mathematics. Series B, Vol. 39, No. 2, 03.2018, p. 373-396.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review