Fast Solver Design

Fast Solver Design is a methodological framework within Model Predictive Control that enables the efficient computational solution of optimal control problems by exploiting structural properties of the underlying optimization to reduce solution time while preserving convergence and stability guarantees.

83

Publications

5K

Citations

251

Authors

137

Institutions

Publications per year

2017–2026

29

Authors

251

  1. LG
    Leslie Greengard

    Courant Institute of Mathematical Sciences, United States

    3 publications · 107 citations

    3

    h-index

  2. AS
    Amin Shokrollahi

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 59 citations

    2

    h-index

  3. MG
    Ming Gu

    University of California, Berkeley, United States

    2 publications · 166 citations

    2

    h-index

  4. MS
    Mehdi Samiee

    Michigan State University, United States

    2 publications · 42 citations

    2

    h-index

  5. MH
    Mohammad Hossein Taghavi

    University of California San Diego, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 251

Venues

  1. Journal of Computational Physics

    10 publications · 386 citations

    10

    h-index

  2. SIAM Journal on Scientific Computing

    5 publications · 197 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 339 citations

    3

    h-index

  4. Computers & Mathematics with Applications

    3 publications · 73 citations

    3

    h-index

  5. 2

    h-index

1–5