An alternating linearization bundle method for convex optimization and nonlinear multicommodity flow problems
成果类型:
Article
署名作者:
Kiwiel, K. C.
署名单位:
Polish Academy of Sciences; Systems Research Institute of the Polish Academy of Sciences
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-009-0327-0
发表日期:
2011
页码:
59-84
关键词:
lagrangian-relaxation
摘要:
We give a bundle method for minimizing the sum of two convex functions, one of them being known only via an oracle of arbitrary accuracy. Each iteration involves solving two subproblems in which the functions are alternately represented by their linearizations. Our approach is motivated by applications to nonlinear multicommodity flow problems. Encouraging numerical experience on large scale problems is reported.