𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A trust-region method with a conic model for unconstrained optimization

✍ Scribed by Shao-Jian Qu; Su-Da Jiang


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
216 KB
Volume
31
Category
Article
ISSN
0170-4214

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

In this paper, we propose and analyze a new conic trust‐region algorithm for solving the unconstrained optimization problems. A new strategy is proposed to construct the conic model and the relevant conic trust‐region subproblems are solved by an approximate solution method. This approximate solution method is not only easy to implement but also preserves the strong convergence properties of the exact solution methods. Under reasonable conditions, the locally linear and superlinear convergence of the proposed algorithm is established. The numerical experiments show that this algorithm is both feasible and efficient. Copyright Β© 2008 John Wiley & Sons, Ltd.


πŸ“œ SIMILAR VOLUMES


Parameter optimization for a PEMFC model
✍ Zhi-Jun Mo; Xin-Jian Zhu; Ling-Yun Wei; Guang-Yi Cao πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 238 KB

Many steady-state models of polymer electrolyte membrane fuel cells (PEMFC) have been developed and published in recent years. However, models which are easy to be solved and feasible for engineering applications are few. Moreover, rarely the methods for parameter optimization of PEMFC stack models

A statistical method for scanning the ge
✍ Chad Garner πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 176 KB

## Abstract Studying the role of rare alleles in common disease has been prevented by the impractical task of determining the DNA sequence of large numbers of individuals. Next‐generation DNA sequencing technologies are being developed that will make it possible for genetic studies of common diseas