Table of Contents Author Guidelines Submit a Manuscript
Abstract and Applied Analysis
Volume 2014, Article ID 264965, 19 pages
http://dx.doi.org/10.1155/2014/264965
Research Article

Steepest-Descent Approach to Triple Hierarchical Constrained Optimization Problems

1Department of Mathematics, Shanghai Normal University, and Scientific Computing Key Laboratory of Shanghai Universities, Shanghai 200234, China
2Department of Information Management, Yuan Ze University, Chung-Li 32003, Taiwan
3Department of Information Management, and Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Chung-Li 32003, Taiwan
4Center for Fundamental Science, Kaohsiung Medical University, Kaohsiung 807, Taiwan

Received 4 May 2014; Accepted 31 July 2014; Published 31 August 2014

Academic Editor: Jong Kyu Kim

Copyright © 2014 Lu-Chuan Ceng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, and Ching-Feng Wen, “Steepest-Descent Approach to Triple Hierarchical Constrained Optimization Problems,” Abstract and Applied Analysis, vol. 2014, Article ID 264965, 19 pages, 2014. https://doi.org/10.1155/2014/264965.