Modified Lagrangian and least root approaches for general nonlinear optimization problems

W. Oettli; Xiaoqi Yang

doi:10.1007/s102550200012

Modified Lagrangian and least root approaches for general nonlinear optimization problems

W. Oettli, Xiaoqi Yang

Research output: Journal article publication › Journal article › Academic research › peer-review

2 Citations (Scopus)

Abstract

In this paper we study nonlinear Lagrangian methods for optimization problems with side constraints. Nonlinear Lagrangian dual problems are introduced and their relations with the original problem are established. Moreover, a least root approach is investigated for these optimization problems.

Original language	English
Pages (from-to)	147-152
Number of pages	6
Journal	Acta Mathematicae Applicatae Sinica
Volume	18
Issue number	1
DOIs	https://doi.org/10.1007/s102550200012
Publication status	Published - 1 Jan 2002

Keywords

Generalized Lagrangian
Least root approach
Zero duality gap

ASJC Scopus subject areas

Applied Mathematics

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10.1007/s102550200012

Cite this

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KW - Least root approach

KW - Zero duality gap

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DO - 10.1007/s102550200012

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Modified Lagrangian and least root approaches for general nonlinear optimization problems

Abstract

Keywords

ASJC Scopus subject areas

More information

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