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Optimization Online





 

All Areas Submissions - January 2001

Applications — Science and Engineering
Improved linear programming bounds for antipodal spherical codes
Kurt M. Anstreicher

Integer Programming
Generating Convex Polynomial Inequalities for Mixed 0-1 Programs
Robert Stubbs, Sanjay Mehrotra

Convex and Nonsmooth Optimization
Two properties of condition numbers for convex programs via implicitly defined barrier functions
Javier Pena

Applications — OR and Management Sciences
Frequency Planning and Ramifications of Coloring
Andreas Eisenblaetter, Martin Groetschel, Arie M.C.A. Koster

Applications — OR and Management Sciences
Re-Optimization of Signaling Transfer Points
Arie M.C.A. Koster

Other Topics
Generalized Goal Programming: Polynomial Methods and Applications
Emilio Carrizosa, Joerg Fliege

Combinatorial Optimization
GRASP: An annotated bibliography
P. Festa, M. G. C. Resende

Nonlinear Optimization
Reducing the number of AD passes for computing a sparse Jacobian matrix
Shahadat Hossain, Trond Steihaug

Applications — Science and Engineering
Optimal Control of Distributed Proceses using Reduced Order Models
Eva Balsa-Canto, Antonio A. Alonso, Julio R. Banga

Linear, Cone and Semidefinite Programming
An Interior-Point Approach to Sensitivity Analysis in Degenerate Linear Programs
E. Alper Yildirim, Michael J. Todd

Convex and Nonsmooth Optimization
Non Convergence Result for Conformal Approximation of Variational Problems Subject to a Convexity Constraint
Philippe Choné, Hervé Le Meur

Network Optimization
Newton Algorithms for Large-Scale Strictly Convex Separable Network Optimization
Aleksandar Donev, Phillip Duxbury

Applications — Science and Engineering
Handling Nonnegative Constraints in Spectral Estimation
Brien Alkire, Lieven Vandenberghe

Convex and Nonsmooth Optimization
Convex optimization problems involving finite autocorrelation sequences
Brien Alkire, Lieven Vandenberghe

Applications — OR and Management Sciences
Optimal location of intermodal freight hubs
Illia Racunica, Laura Wynter

Linear, Cone and Semidefinite Programming
A New and Efficient Large-Update Interior-Point Method for Linear Optimization
J Peng, C Roos, T Terlaky

Applications — OR and Management Sciences
On some difficult linear programs coming from Set Partitioning
Francisco Barahona, ranga anbil


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