Numerical Robustness
Numerical Robustness is a methodological framework in robust geometric computation that ensures computational consistency and correctness in geometric algorithms by rigorously managing rounding errors and representational inaccuracies inherent in finite-precision arithmetic.
329
Publications
25K
Citations
791
Authors
384
Institutions
Publications per year
2017–2026
65
Parents
329
1–5 of 329
791
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384
University of California, Berkeley
Berkeley, United States
10 h-index
20 publications
3.1K citations
Virginia Tech
Blacksburg, United States
6 h-index
10 publications
235 citations

Cornell University
Ithaca, United States
6 h-index
9 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
17 publications
938 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
10 publications
2.2K citations
ETH Zurich
Zurich, Switzerland
5 h-index
8 publications
336 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
8 publications
124 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
6 publications
506 citations
1–8 of 384
11 publications · 651 citations
11
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10 publications · 548 citations
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TOMS · 5 publications · 108 citations
5
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5 publications · 394 citations
5
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IJRCEA · 5 publications · 556 citations
5
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