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» On Non-Approximability for Quadratic Programs
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PVM
2005
Springer
14 years 1 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
EOR
2010
110views more  EOR 2010»
13 years 8 months ago
A hybrid metaheuristic approach to solving the UBQP problem
This paper presents a hybrid metaheuristic approach (HMA) for solving the Unconstrained Binary Quadratic Programming (UBQP) problem. By incorporating a tabu search procedure into ...
Zhipeng Lü, Fred Glover, Jin-Kao Hao
MP
2006
94views more  MP 2006»
13 years 8 months ago
Optimization-based simulation of nonsmooth rigid multibody dynamics
We present a time-stepping method to simulate rigid multibody dynamics with inelastic collision, contact, and friction. The method progresses with fixed time step without backtrac...
Mihai Anitescu
AUTOMATICA
2002
104views more  AUTOMATICA 2002»
13 years 7 months ago
Who needs QP for linear MPC anyway?
Conventional MPC uses quadratic programming (QP) to minimise, on-line, a cost over n linearly constrained control moves. However, stability constraints often require the use of la...
Basil Kouvaritakis, Mark Cannon, J. Anthony Rossit...
SIAMJO
2010
83views more  SIAMJO 2010»
13 years 6 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl