Direct Methods For Linear Systems

Direct Methods for Linear Systems is a computational approach in numerical analysis that belongs to the class of algorithms designed to solve systems of linear equations by transforming the system into an equivalent form through a finite sequence of arithmetic operations, distinguishing itself from iterative methods by guaranteeing an exact solution in the absence of rounding errors.

190

Publications

11.5K

Citations

354

Authors

171

Institutions

Publications per year

2017–2026

10

Authors

354

  1. JA
    J. A. Scott

    Rutherford Appleton Laboratory, United Kingdom

    6 publications · 132 citations

    6

    h-index

  2. JR
    John Reid

    Rutherford Appleton Laboratory, United Kingdom

    4 publications · 193 citations

    4

    h-index

  3. ID
    Iain Duff

    Rutherford Appleton Laboratory, United Kingdom

    4 publications · 511 citations

    4

    h-index

  4. SR
    Sivasankaran Rajamanickam

    Sandia National Laboratories, United States

    3 publications · 350 citations

    3

    h-index

  5. CP
    Constantin Popa

    Ovidius University, Romania

    2 publications · 87 citations

    2

    h-index

1–5 of 354

Venues

  1. SIAM Journal on Scientific Computing

    8 publications · 637 citations

    8

    h-index

  2. ACM Transactions on Mathematical Software

    TOMS · 7 publications · 904 citations

    7

    h-index

  3. SIAM Journal on Numerical Analysis

    7 publications · 891 citations

    7

    h-index

  4. Mathematics of Computation

    MCOM · 6 publications · 892 citations

    6

    h-index

  5. 5

    h-index

1–5