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ORCIDComputational Optimization and Applications, Volume 35
Volume 35, Number 1, September 2006
- L. H. Chen, Naiyang Deng, Jianzhong Zhang:
A Modified Quasi-Newton Method for Structured Optimization with Partial Information on the Hessian. 5-18 - Bingsheng He, Ya Xu, Xiao-Ming Yuan:
A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities. 19-46 - X. X. Huang, Kok Lay Teo, X. Q. Yang:
Calmness and Exact Penalization in Vector Optimization with Cone Constraints. 47-67 - Bin Zhou, Li Gao, Yu-Hong Dai:
Gradient Methods with Adaptive Step-Sizes. 69-86 - Alberto Bemporad, Carlo Filippi
:
An Algorithm for Approximate Multiparametric Convex Programming. 87-108 - Ronald H. Nickel, Igor Mikolic-Torreira, Jon W. Tolle:
Computing Aviation Sparing Policies: Solving a Large Nonlinear Integer Program. 109-126 - Dmitry I. Belov, Ronald D. Armstrong:
A Constraint Programming Approach to Extract the Maximum Number of Non-Overlapping Test Forms. 127-128
Volume 35, Number 2, October 2006
- J. A. Julian Hall, Ken McKinnon:
COAP 2005 Best Paper Award. 131-133 - Nguyen Thi Hoai-Phuong, Hoang Tuy, Faiz Al-Khayyal:
Optimization of a Quadratic Function with a Circulant Matrix. 135-159 - Johannes Jahn:
Multiobjective Search Algorithm with Subdivision Technique. 161-175 - Christian Kanzow, Andreas Klug:
On Affine-Scaling Interior-Point Newton Methods for Nonlinear Minimization with Bound Constraints. 177-197 - Zheng-Hai Huang, Defeng Sun, Gongyun Zhao:
A Smoothing Newton-Type Algorithm of Stronger Convergence for the Quadratically Constrained Convex Quadratic Programming. 199-237 - Cesar Beltran, Claude Tadonki, Jean-Philippe Vial:
Solving the p -Median Problem with a Semi-Lagrangian Relaxation. 239-260 - Michael Bartholomew-Biggs, Bruce Christianson, Ming Jian Zuo:
Optimizing Preventive Maintenance Models. 261-279
Volume 35, Number 3, November 2006
- Bernardetta Addis, Sven Leyffer:
A Trust-Region Algorithm for Global Optimization. 287-304 - César Gutiérrez, Bienvenido Jiménez, Vicente Novo:
On Approximate Solutions in Vector Optimization Problems Via Scalarization. 305-324 - Yasushi Narushima, Hiroshi Yabe:
Global Convergence of a Memory Gradient Method for Unconstrained Optimization. 325-346 - Roman A. Polyak:
Nonlinear Rescaling as Interior Quadratic Prox Method in Convex Optimization. 347-373 - Zhiqing Meng, Chuangyin Dang, Xiaoqi Yang:
On the Smoothing of the Square-Root Exact Penalty Function for Inequality Constrained Optimization. 375-398
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