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OL
2011
177views Neural Networks» more  OL 2011»
13 years 3 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
OL
2011
217views Neural Networks» more  OL 2011»
13 years 6 months ago
Privacy-preserving linear programming
Abstract. We propose a privacy-preserving formulation of a linear program whose constraint matrix is partitioned into groups of columns where each group of columns and its correspo...
O. L. Mangasarian
OL
2011
277views Neural Networks» more  OL 2011»
13 years 7 months ago
An exact algorithm for minimum CDS with shortest path constraint in wireless networks
In this paper, we study a minimum Connected Dominating Set problem (CDS) in wireless networks, which selects a minimum CDS with property that all intermediate nodes inside every pa...
Ling Ding, Xiaofeng Gao, Weili Wu, Wonjun Lee, Xu ...
OL
2011
242views Neural Networks» more  OL 2011»
13 years 7 months ago
On connected domination in unit ball graphs
Given a simple undirected graph, the minimum connected dominating set problem is to find a minimum cardinality subset of vertices D inducing a connected subgraph such that each ve...
Sergiy Butenko, Sera Kahruman-Anderoglu, Oleksii U...
OL
2011
332views Neural Networks» more  OL 2011»
13 years 7 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
OL
2011
190views Neural Networks» more  OL 2011»
13 years 7 months ago
On optimality of a polynomial algorithm for random linear multidimensional assignment problem
We demonstrate that the Linear Multidimensional Assignment Problem with iid random costs is polynomially "-approximable almost surely (a. s.) via a simple greedy heuristic, f...
Pavlo A. Krokhmal