High-order Eigenvalue Approximation

High-Order Eigenvalue Approximation is a numerical method in eigenvalue computation that achieves enhanced accuracy by employing higher-order discretization or asymptotic techniques to more precisely estimate eigenvalues of differential or matrix operators compared to standard-order approaches.

272

Publications

13.1K

Citations

461

Authors

296

Institutions

Publications per year

2017–2026

23

Authors

461

  1. QL
    Qun Lin

    Academy of Mathematics and Systems Science, China

    5 publications · 152 citations

    5

    h-index

  2. MH
    Martin H. Gutknecht

    ETH Zurich, Switzerland

    4 publications · 371 citations

    4

    h-index

  3. BC
    B. Chanane

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    4 publications · 82 citations

    4

    h-index

  4. HX
    Hehu Xie

    Academy of Mathematics and Systems Science, China

    4 publications · 110 citations

    4

    h-index

  5. AZ
    Aihui Zhou

    Academy of Mathematics and Systems Science, China

    3 publications · 117 citations

    3

    h-index

1–5 of 461

Venues

  1. Linear Algebra and its Applications

    12 publications · 819 citations

    12

    h-index

  2. Journal of Computational Physics

    13 publications · 3.1K citations

    12

    h-index

  3. SIAM Journal on Numerical Analysis

    10 publications · 308 citations

    10

    h-index

  4. Mathematics of Computation

    MCOM · 10 publications · 318 citations

    10

    h-index

  5. 8

    h-index

1–5