On duality principles and related convex dual formulations suitable for local and global non-convex variational optimization

被引:1
|
作者
Botelho, Fabio Silva [1 ]
机构
[1] Univ Fed Santa Catarina, Dept Math, Florianopolis, SC, Brazil
来源
关键词
convex dual variational formulations; duality principles for non-convex primal local and global optimization; Ginzburg-Landau type equation;
D O I
10.1515/nleng-2022-0343
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This article develops duality principles, a related convex dual formulation and primal dual formulations suitable for the local and global optimization of non convex primal formulations for a large class of models in physics and engineering. The results are based on standard tools of functional analysis, calculus of variations and duality theory. In particular, we develop applications to a Ginzburg-Landau type equation. Other applications include primal dual variational formulations for a Burger's type equation and a Navier-Stokes system. We emphasize the novelty here is that the first dual variational formulation developed is convex for a primal formulation which is originally non-convex. Finally, we also highlight the primal dual variational formulations presented have a large region of convexity around any of their critical points.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] A non-convex analogue to Fenchel duality
    Bachir, M
    JOURNAL OF FUNCTIONAL ANALYSIS, 2001, 181 (02) : 300 - 312
  • [22] Duality Theory of Non-convex Technologies
    Timo Kuosmanen
    Journal of Productivity Analysis, 2003, 20 : 273 - 304
  • [23] GLOBAL OPTIMIZATION FOR NON-CONVEX PROGRAMS VIA CONVEX PROXIMAL POINT METHOD
    Zhao, Yuanyi
    Xing, Wenxun
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2023, 19 (06) : 4591 - 4614
  • [24] Global convergence of a curvilinear search for non-convex optimization
    Bartholomew-Biggs, Michael
    Beddiaf, Salah
    Christianson, Bruce
    NUMERICAL ALGORITHMS, 2023, 92 (04) : 2025 - 2043
  • [25] Global convergence of a curvilinear search for non-convex optimization
    Michael Bartholomew-Biggs
    Salah Beddiaf
    Bruce Christianson
    Numerical Algorithms, 2023, 92 : 2025 - 2043
  • [26] Non-convex scenario optimization
    Garatti, Simone
    Campi, Marco C.
    MATHEMATICAL PROGRAMMING, 2025, 209 (1-2) : 557 - 608
  • [27] Non-Convex Distributed Optimization
    Tatarenko, Tatiana
    Touri, Behrouz
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (08) : 3744 - 3757
  • [28] Non-Convex Optimization: A Review
    Trehan, Dhruv
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS 2020), 2020, : 418 - 423
  • [29] Optimality and duality for vector optimization problem with non-convex feasible set
    Suneja, S. K.
    Sharma, Sunila
    Yadav, Priyanka
    OPSEARCH, 2020, 57 (01) : 1 - 12
  • [30] Optimality and duality in nonsmooth vector optimization with non-convex feasible set
    Sharma, Sunila
    Yadav, Priyanka
    RAIRO-OPERATIONS RESEARCH, 2021, 55 (55) : S1195 - S1206