Anderson Acceleration

Anderson Acceleration is a fixed-point acceleration method that enhances the convergence rate of iterative algorithms by leveraging a linear combination of previous iterates to approximate the solution more efficiently.

58

Publications

3.6K

Citations

131

Authors

68

Institutions

Publications per year

2017–2026

47

Authors

131

  1. CT
    C. T. Kelley

    North Carolina State University, United States

    6 publications · 433 citations

    6

    h-index

  2. BD
    Bailin Deng

    Cardiff University, United Kingdom

    4 publications · 444 citations

    4

    h-index

  3. JZ
    Juyong Zhang

    University of Science and Technology of China, China

    4 publications · 444 citations

    4

    h-index

  4. HF
    Homer F. Walker

    Utah State University, United States

    3 publications · 677 citations

    3

    h-index

  5. YS
    Yousef Saad

    University of Minnesota, United States

    3 publications · 408 citations

    3

    h-index

1–5 of 131

Venues

  1. SIAM Journal on Scientific Computing

    7 publications · 257 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 99 citations

    7

    h-index

  3. SIAM Journal on Numerical Analysis

    4 publications · 989 citations

    4

    h-index

  4. Journal of Computational Physics

    3 publications · 194 citations

    3

    h-index

  5. 2

    h-index

1–5