Dual Variational Formulation

Dual Variational Formulation is a variational formulation that characterizes the solution of a primal optimization problem through the optimization of a dual functional derived via Lagrangian duality, often involving adjoint states or complementary energy principles to reformulate the original problem in a dual function space.

276

Publications

17.3K

Citations

530

Authors

307

Institutions

Publications per year

2017–2026

53

Authors

530

  1. GN
    Gabriel N. Gatica

    University of Concepción, Chile

    9 publications · 257 citations

    9

    h-index

  2. GA
    Gonzalo Alduncin

    Universidad Nacional Autónoma de México, Mexico

    5 publications · 90 citations

    5

    h-index

  3. ST
    Savin Treanţă

    Universitatea Națională de Știință și Tehnologie Politehnica București, Romania

    3 publications · 53 citations

    3

    h-index

  4. BM
    B. Mond

    La Trobe University, Australia

    3 publications · 176 citations

    3

    h-index

  5. MS
    Mircea Sofonea

    Université de Perpignan, France

    3 publications · 46 citations

    3

    h-index

1–5 of 530

Venues

  1. 14

    h-index

  2. Computational Optimization and Applications

    6 publications · 367 citations

    6

    h-index

  3. Nonlinear Analysis

    5 publications · 259 citations

    5

    h-index

  4. Journal of Global Optimization

    5 publications · 110 citations

    5

    h-index

  5. IEEE Transactions on Magnetics

    4 publications · 184 citations

    4

    h-index

1–5