Sparse Polynomial Algorithms

Sparse Polynomial Algorithms is a computational method in computational algebra that specializes in efficiently manipulating and operating on polynomials represented sparsely, where only nonzero terms are stored and processed, distinguishing it from dense polynomial algorithms by exploiting the sparsity structure to reduce time and space complexity.

178

Publications

7K

Citations

268

Authors

166

Institutions

Publications per year

2017–2026

21

Authors

268

  1. EK
    Erich Kaltofen

    North Carolina State University, United States

    15 publications · 521 citations

    12

    h-index

  2. MM
    Michael Monagan

    Simon Fraser University, Canada

    9 publications · 243 citations

    9

    h-index

  3. MG
    Mark Giesbrecht

    University of Waterloo, Canada

    8 publications · 239 citations

    8

    h-index

  4. GL
    Grégoire Lecerf

    École Polytechnique, France

    7 publications · 177 citations

    7

    h-index

  5. JM
    J. Maurice Rojas

    Texas A&M University, United States

    6 publications · 152 citations

    6

    h-index

1–5 of 268

Venues

  1. Journal of Symbolic Computation

    12 publications · 569 citations

    11

    h-index

  2. Mathematics of Computation

    MCOM · 9 publications · 905 citations

    9

    h-index

  3. SIAM Journal on Computing

    6 publications · 219 citations

    6

    h-index

  4. Journal of Complexity

    4 publications · 92 citations

    4

    h-index

  5. ACM SIGSAM Bulletin

    4 publications · 166 citations

    4

    h-index

1–5