Karmarkar's Algorithm

Karmarkar's Algorithm is an interior-point method for solving linear programming problems, distinguished from simplex methods by its polynomial-time complexity and its use of projective transformations to iteratively approach the optimal solution from within the feasible region.

119

Publications

10.2K

Citations

155

Authors

92

Institutions

Publications per year

2017–2026

17

Authors

155

  1. YY
    Yinyu Ye

    Stanford University, United States

    8 publications · 580 citations

    8

    h-index

  2. MJ
    Michael J. Todd

    Cornell University, United States

    7 publications · 564 citations

    7

    h-index

  3. MF
    M. Farasat Shamir

    National University of Computer and Emerging Sciences, Pakistan

    5 publications · 232 citations

    5

    h-index

  4. JC
    Jeffrey C. Lagarias

    AT&T (United States), United States

    5 publications · 405 citations

    5

    h-index

  5. KM
    Kurt M. Anstreicher

    University of Iowa, United States

    5 publications · 92 citations

    5

    h-index

1–5 of 155

Venues

  1. Mathematical Programming

    22 publications · 2.2K citations

    21

    h-index

  2. Mathematics of Operations Research

    11 publications · 654 citations

    10

    h-index

  3. Operations Research

    5 publications · 1.5K citations

    5

    h-index

  4. SIAM Journal on Optimization

    5 publications · 172 citations

    5

    h-index

  5. IEEE Transactions on Power Systems

    4 publications · 456 citations

    4

    h-index

1–5