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ORCIDComputational Optimization and Applications, Volume 15
Volume 15, Number 1, January 2000
- Thomas F. Coleman, Jianguo Liu:
An Exterior Newton Method for Strictly Convex Quadratic Programming. 5-32 - Krzysztof C. Kiwiel, Per Olov Lindberg, Andreas Nõu:
Bregman Proximal Relaxation of Large-Scale 0-1 Problems. 33-44 - Lorenz T. Biegler
, Jorge Nocedal, Claudia Schmid, David Ternet:
Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization. 45-67 - Wolfgang Achtziger:
Optimization with Variable Sets of Constraints and an Application to Truss Design. 69-96
Volume 15, Number 2, February 2000
- Thomas F. Coleman, Jianguo Liu, Wei Yuan:
A Quasi-Newton Quadratic Penalty Method for Minimization Subject to Nonlinear Equality Constraints. 103-123 - Adam Ouorou:
A Primal-Dual Algorithm for Monotropic Programming and its Application to Network Optimization. 125-143 - Stephan Dempe:
A Bundle Algorithm Applied to Bilevel Programming Problems with Non-Unique Lower Level Solutions. 145-166 - Zhi-Quan Luo, Jie Sun:
A Polynomial Cutting Surfaces Algorithm for the Convex Feasibility Problem Defined by Self-Concordant Inequalities. 167-191 - Franz Kappel, Alexei V. Kuntsevich:
An Implementation of Shor's r-Algorithm. 193-205
Volume 15, Number 3, March 2000
- Patrizia Beraldi, Roberto Musmanno, Chefi Triki:
Solving Stochastic Linear Programs with Restricted Recourse Using Interior Point Methods. 215-234 - Nalan Gülpinar, Gregory Z. Gutin, Gautam Mitra, István Maros:
Detecting Embedded Networks in LP Using GUB Structures and Independent Set Algorithms. 235-247 - Meng-Hiot Lim, Y. Yuan, Sigeru Omatu:
Efficient Genetic Algorithms Using Simple Genes Exchange Local Search Policy for the Quadratic Assignment Problem. 249-268 - Dan Butnariu, Alfredo N. Iusem, Regina Sandra Burachik:
Iterative Methods of Solving Stochastic Convex Feasibility Problems and Applications. 269-307
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