Split Strategies

Split Strategies is a methodological framework within the divide and conquer paradigm that systematically determines how a computational problem is partitioned into smaller, more manageable subproblems based on specific structural, algorithmic, or data-driven criteria.

39

Publications

2.4K

Citations

95

Authors

63

Institutions

Publications per year

2017–2026

8

Authors

95

  1. KS
    Kai Sun

    University of Tennessee at Knoxville, United States

    3 publications · 496 citations

    3

    h-index

  2. QL
    Qiang Lu

    Tsinghua University, China

    3 publications · 496 citations

    3

    h-index

  3. DZ
    Da-Zhong Zheng

    Tsinghua University, China

    3 publications · 496 citations

    3

    h-index

  4. BL
    Baruch Lev

    New York University, United States

    2 publications · 579 citations

    2

    h-index

  5. RA
    Robert A. Stavenger

    University of Illinois Urbana-Champaign, United States

    2 publications · 94 citations

    2

    h-index

1–5 of 95

Venues

  1. IEEE Transactions on Power Systems

    2 publications · 484 citations

    2

    h-index

  2. OR Spectrum

    2 publications · 130 citations

    2

    h-index

  3. The Journal of Finance

    2 publications · 579 citations

    2

    h-index

  4. International Journal of Production Economics

    1 publications · 13 citations

    1

    h-index

  5. The American Journal of Psychology

    AJP · 1 publications · 13 citations

    1

    h-index

1–5