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» On Non-Approximability for Quadratic Programs
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JMLR
2010
182views more  JMLR 2010»
13 years 3 days ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 9 days ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
SIAMJO
2010
110views more  SIAMJO 2010»
13 years 1 days ago
Estimating Bounds for Quadratic Assignment Problems Associated with Hamming and Manhattan Distance Matrices Based on Semidefinit
Quadratic assignment problems (QAPs) with a Hamming distance matrix for a hypercube or a Manhattan distance matrix for a rectangular grid arise frequently from communications and ...
Hans D. Mittelmann, Jiming Peng
OL
2011
332views Neural Networks» more  OL 2011»
13 years 7 days 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
NA
2010
82views more  NA 2010»
13 years 3 months ago
Semi-definite programming techniques for structured quadratic inverse eigenvalue problems
In the past decade or so, semi-definite programming (SDP) has emerged as a powerful tool capable of handling a remarkably wide range of problems. This article describes an innovat...
Matthew M. Lin, Bo Dong, Moody T. Chu