All Areas Submissions - May 2001

Combinatorial Optimization
A Hybrid GRASP with Perturbations for the Steiner Problem in Graphs
Celso Ribeiro, Eduardo Uchoa, Renato Werneck

Combinatorial Optimization
Strategies for the Parallel Implementation of Metaheuristics
Van-Dat Cung, Simone Martins, Celso Ribeiro, Catherine Roucairol

Applications — OR and Management Sciences
Parallel Cooperative Approaches for the Labor Constrained Scheduling Problem
Cristina Cavalcante, Victor Cavalcante, Celso Ribeiro, Cid Souza

Linear, Cone and Semidefinite Programming
Avoiding numerical cancellation in the interior point method for solving semidefinite programs
Jos F. Sturm

Linear, Cone and Semidefinite Programming
On cones of nonnegative quadratic functions
Jos F. Sturm, Shuzhong Zhang

Convex and Nonsmooth Optimization
Examples of ill-behaved central paths in convex optimization
J. Charles Gilbert, Clovis C. Gonzaga, Elizabeth Karas

Linear, Cone and Semidefinite Programming
A Linear Programming Approach to Semidefinite Programming Problems
Kartik Krishnan, John Mitchell

Combinatorial Optimization
Kernels in planar digraphs
Gregory Gutin, Ton Kloks, C.M. Lee

Combinatorial Optimization
Polyhedral results for two-connected networks with bounded rings
Bernard Fortz, Martine Labbé

Linear, Cone and Semidefinite Programming
Solving standard quadratic optimization problems via linear, semidefinite and copositive programming
I.M. Bomze, E. De Klerk

Integer Programming
Solving large MINLPs on computational grids
Jean-Pierre Goux, Sven Leyffer

Convex and Nonsmooth Optimization
Multiple Cuts with a Homogeneous Analytic Center Cutting Plane Method
Olivier Péton, Jean-Philippe Vial

Combinatorial Optimization
A New Second-Order Cone Programming Relaxation for MAX-CUT problems
Masakazu Muramatsu, Tsunehiro Suzuki

Nonlinear Optimization
New Results on Quadratic Minimization
Yinyu Ye, Shuzhong Zhang

Stochastic Programming
On a new collection of stochastic linear programming test problems
K. A. Ariyawansa, Andrew J. Felt

Convex and Nonsmooth Optimization
Optimal Stability and Eigenvalue Multiplicity
James V. Burke, Adrian S. Lewis, Michael L. Overton

Convex and Nonsmooth Optimization
Optimizing Matrix Stability
James V. Burke, Adrian S. Lewis, Michael L. Overton

Convex and Nonsmooth Optimization
Approximating Subdifferentials by Random Sampling of Gradients
James V. Burke, Adrian S. Lewis, Michael L. Overton

Convex and Nonsmooth Optimization
Two Numerical Methods for Optimizing Matrix Stability
James V. Burke, Adrian S. Lewis, Michael L. Overton