Sampling real algebraic varieties for topological data analysis
Topological data analysis (TDA) provides tools for computing geometric and topological information about spaces from a finite sample of points. We present an adaptive algorithm for finding provably dense samples of points on real algebraic varieties given a set of defining polynomials for use as inp...
| Główni autorzy: | , , , |
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| Format: | Conference item |
| Język: | English |
| Wydane: |
IEEE
2020
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