Gamblets

Gamblets is a multiscale basis function system derived from a probabilistic decomposition of elliptic operators, distinguished by its ability to enable sparse, hierarchical numerical solutions of partial differential equations through localized, statistically informed trial functions.

12

Publications

649

Citations

18

Authors

14

Institutions

Publications per year

2017–2026

5

Authors

18

  1. HO
    Houman Owhadi

    California Institute of Technology, United States

    4 publications · 126 citations

    4

    h-index

  2. LZ
    Lei Zhang

    Shanghai Jiao Tong University, China

    2 publications · 93 citations

    2

    h-index

  3. WD
    William D. Sudderth

    University of Minnesota, United States

    1 publications · 20 citations

    1

    h-index

  4. CS
    Clint Scovel

    Los Alamos National Laboratory, United States

    1 publications · 21 citations

    1

    h-index

  5. JB
    Jan Broekaert

    Vrije Universiteit Brussel, Belgium

    1 publications · 47 citations

    1

    h-index

1–5 of 18

Venues

  1. Cognitive Psychology

    1 publications · 47 citations

    1

    h-index

  2. Erkenntnis

    1 publications · 74 citations

    1

    h-index

  3. Proceedings of the American Mathematical Society

    PROC · 1 publications · 20 citations

    1

    h-index

  4. Journal of Economic Theory

    JET · 1 publications · 11 citations

    1

    h-index

  5. The Geneva Risk and Insurance Review

    1 publications · 36 citations

    1

    h-index

1–5