2015
DOI: 10.1007/s11590-015-0860-0
|View full text |Cite
|
Sign up to set email alerts
|

Canonical duality for solving general nonconvex constrained problems

Abstract: This paper presents a canonical duality theory for solving a general nonconvex constrained optimization problem within a unified framework to cover Lagrange multiplier method and KKT theory. It is proved that if both target function and constraints possess certain patterns necessary for modeling real systems, a perfect dual problem (without duality gap) can be obtained in a unified form with global optimality conditions provided. While the popular augmented Lagrangian method may produce more difficult nonconve… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
43
0

Year Published

2015
2015
2019
2019

Publication Types

Select...
5
4

Relationship

3
6

Authors

Journals

citations
Cited by 30 publications
(43 citation statements)
references
References 26 publications
0
43
0
Order By: Relevance
“…Thus, from the canonical transformation, we have τ = 2(∇χ) · (∇ C V (C(∇χ))) = ∇ F U(∇χ) (75) due to the chain role. This shows that the integral (71) is indeed a stationary point of (χ ) since τ ∈ T c .…”
Section: Applications In Large Deformation Mechanicsmentioning
confidence: 99%
“…Thus, from the canonical transformation, we have τ = 2(∇χ) · (∇ C V (C(∇χ))) = ∇ F U(∇χ) (75) due to the chain role. This shows that the integral (71) is indeed a stationary point of (χ ) since τ ∈ T c .…”
Section: Applications In Large Deformation Mechanicsmentioning
confidence: 99%
“…This generalized canonical duality plays an important role in unified understanding Lagrangian duality and KKT theory for constrained optimization problems (see [74,75] and Section 5.4). In analysis, nonlinear PDEs are classified as semilinear, quasi-linear, and fully nonlinear three categories based on the degree of the nonlinearity [76].…”
Section: Definition 2 (Canonical Function and Canonical Transformatiomentioning
confidence: 99%
“…Canonical duality theory, developed from non-convex analysis and global optimization [21,22], is a potentially powerful methodology, which has been successfully used for solving a large class of challenging problems in biology, engineering, sciences [23][24][25], and recently in network communications [26][27][28], radial basis neural networks [29] and constrained optimization [30]. In this paper we use this canonical dual transformation methodology in order to formulate the total complementarity function of the original problem whose stationary points do not have any duality gap with respect to the corresponding solutions of the primal problem.…”
Section: Introductionmentioning
confidence: 99%