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AUTOMATICA
2006
137views more  AUTOMATICA 2006»
14 years 11 months ago
A Newton-like method for solving rank constrained linear matrix inequalities
This paper presents a Newton-like algorithm for solving systems of rank constrained linear matrix inequalities. Though local quadratic convergence of the algorithm is not a priori...
Robert Orsi, Uwe Helmke, John B. Moore
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 1 days ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
EOR
2007
89views more  EOR 2007»
14 years 11 months ago
The service allocation problem at the Gioia Tauro Maritime Terminal
The Service Allocation Problem (SAP) is a tactical problem arising in the yard management of a container transshipment terminal. The objective is the minimization of the container...
Jean-François Cordeau, Manlio Gaudioso, Gil...
COCOA
2008
Springer
15 years 1 months ago
Algorithms and Experimental Study for the Traveling Salesman Problem of Second Order
We introduce a new combinatorial optimization problem, which is a generalization of the Traveling Salesman Problem (TSP) and which we call Traveling Salesman Problem of Second Orde...
Gerold Jäger, Paul Molitor
OL
2007
133views more  OL 2007»
14 years 11 months ago
An SQP-type algorithm for nonlinear second-order cone programs
We propose an SQP-type algorithm for solving nonlinear second-order cone programming (NSOCP) problems. At every iteration, the algorithm solves a convex SOCP subproblem in which th...
Hirokazu Kato, Masao Fukushima