Approximation Theory

Approximation Theory is a branch of numerical analysis that studies how functions, data, or mathematical objects can be approximated by simpler or more tractable constructs, typically using finite-dimensional subspaces or discrete representations, to achieve a desired level of accuracy with minimal error.

1.6K

Publications

106.6K

Citations

2.7K

Authors

1K

Institutions

Publications per year

2017–2026

210

Authors

2.7K

  1. AP
    Allan Pinkus

    Technion – Israel Institute of Technology, Israel

    11 publications · 2.8K citations

    11

    h-index

  2. GA
    G. A. Watson

    University of Dundee, United Kingdom

    10 publications · 295 citations

    10

    h-index

  3. EW
    E. W. Cheney

    The University of Texas at Austin, United States

    9 publications · 2.5K citations

    9

    h-index

  4. TJ
    T. J. Rivlin

    IBM Research - Thomas J. Watson Research Center, United States

    8 publications · 3.5K citations

    8

    h-index

  5. RD
    Ronald DeVore

    University of South Carolina, United States

    7 publications · 1.6K citations

    7

    h-index

1–5 of 2.7K

Venues

  1. Mathematics of Computation

    MCOM · 43 publications · 11K citations

    32

    h-index

  2. Journal of Approximation Theory

    99 publications · 3.4K citations

    32

    h-index

  3. SIAM Journal on Numerical Analysis

    57 publications · 2.6K citations

    27

    h-index

  4. The Journal of Chemical Physics

    23 publications · 2K citations

    18

    h-index

  5. SIAM Review

    17 publications · 5.4K citations

    16

    h-index

1–5