Boundary Optimization

Boundary Optimization is a formal methodological framework within boundary selection that systematically refines the delineation of system or model boundaries by identifying and adjusting their optimal positions to maximize analytical accuracy, coherence, or utility under constraints.

57

Publications

2K

Citations

165

Authors

89

Institutions

Publications per year

2017–2026

22

Authors

165

  1. LH
    Lisheng Hou

    Virginia Tech, United States

    3 publications · 95 citations

    3

    h-index

  2. BM
    Byung Man Kwak

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 35 citations

    2

    h-index

  3. JC
    Juan Carlos De los Reyes

    National Polytechnic School, Ecuador

    2 publications · 76 citations

    2

    h-index

  4. MR
    Marlo Raynolds

    University of Waterloo, Canada

    2 publications · 135 citations

    2

    h-index

  5. ET
    Erkan Topal

    Curtin University, Australia

    2 publications · 89 citations

    2

    h-index

1–5 of 165

Venues

  1. Computers & Structures

    2 publications · 58 citations

    2

    h-index

  2. SIAM Journal on Mathematical Analysis

    2 publications · 82 citations

    2

    h-index

  3. Journal of Computational Physics

    2 publications · 58 citations

    2

    h-index

  4. Engineering With Computers

    2 publications · 31 citations

    2

    h-index

  5. SIAM Journal on Control and Optimization

    2 publications · 46 citations

    2

    h-index

1–5