Minimizing Compositions of Differences-of-Convex Functions with Smooth Mappings
成果类型:
Article
署名作者:
Hoai An Le Thi; Van Ngai Huynh; Tao Pham Dinh
署名单位:
Universite de Lorraine; Institut Universitaire de France
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
发表日期:
2024
页码:
1140-1168
关键词:
traveling salesman problem
approximation algorithm
optimization
fairness
trees
time
complexity
摘要:
We address the so-called DC (difference -of -convex functions) composite minimization problems (or DC composite programs ) whose objective function is a composition of a DC function with a continuously differentiable mapping. We first develop an algorithm named DC composite algorithm (DCCA in short) for unconstrained DC composite programs and further extend to DC composite programs with constraints of inclusion associated with a smooth mapping and a closed convex set. The convergence analysis of the proposed algorithms is investigated. Applications of DCCA for two different problems, computation of the numerical radius of a square matrix and minimization of composite energies, are presented.