✦ LIBER ✦

On the convergence of augmented Lagrangian methods for nonlinear semidefinite programming

✍ Scribed by H. Z. Luo, H. X. Wu, G. T. Chen

Book ID: 118802468
Publisher: Springer US
Year: 2011
Tongue: English
Weight: 287 KB
Volume: 54
Category: Article
ISSN: 0925-5001
DOI: 10.1007/s10898-011-9779-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

The rate of convergence of the augmented

The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming

✍ Defeng Sun; Jie Sun; Liwei Zhang 📂 Article 📅 2007 🏛 Springer-Verlag 🌐 English ⚖ 447 KB

Alternating direction augmented Lagrangi

Alternating direction augmented Lagrangian methods for semidefinite programming

✍ Zaiwen Wen; Donald Goldfarb; Wotao Yin 📂 Article 📅 2010 🏛 Springer-Verlag 🌐 English ⚖ 438 KB

A Newton-CG Augmented Lagrangian Method

A Newton-CG Augmented Lagrangian Method for Semidefinite Programming

✍ Zhao, Xin-Yuan; Sun, Defeng; Toh, Kim-Chuan 📂 Article 📅 2010 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 362 KB

Properties of the Augmented Lagrangian i

Properties of the Augmented Lagrangian in Nonlinear Semidefinite Optimization

✍ J. Sun; L. W. Zhang; Y. Wu 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 275 KB

On the convergence properties of modifie

On the convergence properties of modified augmented Lagrangian methods for mathematical programming with complementarity constraints

✍ H. Z. Luo; X. L. Sun; Y. F. Xu; H. X. Wu 📂 Article 📅 2009 🏛 Springer US 🌐 English ⚖ 248 KB

On the approximate augmented Lagrangian

On the approximate augmented Lagrangian for nonlinear symmetric cone programming

✍ Yong-Jin Liu; Li-Wei Zhang 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 298 KB

This paper studies the approximate augmented Lagrangian for nonlinear symmetric cone programming. The analysis is based on some results under the framework of Euclidean Jordan algebras. We formulate the approximate Lagrangian dual problem and study conditions for approximate strong duality results a