Least Squares Problems

Least Squares Problems is a mathematical optimization problem that belongs to the class of linear algebraic problems involving the minimization of the sum of squared residuals, distinguished by its aim to find the best approximate solution to an overdetermined system of linear equations.

4.4K

Publications

429.2K

Citations

7.4K

Authors

2K

Institutions

Publications per year

2017–2026

610

Variants

Least Squares

Authors

7.4K

  1. SV
    Sabine Van Huffel

    KU Leuven, Belgium

    36 publications · 3.9K citations

    23

    h-index

  2. GH
    Gene H. Golub

    Stanford University, United States

    24 publications · 13.8K citations

    22

    h-index

  3. MW
    Musheng Wei

    East China Normal University, China

    21 publications · 633 citations

    19

    h-index

  4. ÅB
    Åke Björck

    Linköping University, Sweden

    18 publications · 1.6K citations

    17

    h-index

  5. YW
    Yimin Wei

    Fudan University, China

    21 publications · 583 citations

    16

    h-index

1–5 of 7.4K

Venues

  1. SIAM Journal on Matrix Analysis and Applications

    128 publications · 10K citations

    51

    h-index

  2. IEEE Transactions on Signal Processing

    125 publications · 12K citations

    50

    h-index

  3. Journal of the American Statistical Association

    65 publications · 11.6K citations

    39

    h-index

  4. Technometrics

    67 publications · 29.1K citations

    39

    h-index

  5. SIAM Journal on Numerical Analysis

    74 publications · 8.4K citations

    39

    h-index

1–5