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

Authors

791

  1. LM
    Lamine Mili

    Virginia Tech, United States

    4 publications · 117 citations

    4

    h-index

  2. BR
    B. Ross Barmish

    University of Wisconsin–Madison, United States

    4 publications · 180 citations

    4

    h-index

  3. AM
    A. Monticelli

    Universidade Estadual de Campinas (UNICAMP), Brazil

    3 publications · 186 citations

    3

    h-index

  4. SG
    S. Gomes

    Universidade Federal do Rio de Janeiro, Brazil

    3 publications · 154 citations

    3

    h-index

  5. NM
    N. Martins

    Centro de Estudos e Pesquisa em Saúde Coletiva, Brazil

    3 publications · 154 citations

    3

    h-index

1–5 of 791

Venues

  1. IEEE Transactions on Power Systems

    11 publications · 651 citations

    11

    h-index

  2. IEEE Transactions on Automatic Control

    10 publications · 548 citations

    10

    h-index

  3. ACM Transactions on Mathematical Software

    TOMS · 5 publications · 108 citations

    5

    h-index

  4. SIAM Journal on Numerical Analysis

    5 publications · 394 citations

    5

    h-index

  5. International Journal of Robust and Nonlinear Control

    IJRCEA · 5 publications · 556 citations

    5

    h-index

1–5