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SIAMSC
2008
147views more  SIAMSC 2008»
14 years 9 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
AUTOMATICA
2002
104views more  AUTOMATICA 2002»
14 years 9 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...
NN
2000
Springer
128views Neural Networks» more  NN 2000»
14 years 9 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
SAT
2005
Springer
104views Hardware» more  SAT 2005»
15 years 3 months ago
Observed Lower Bounds for Random 3-SAT Phase Transition Density Using Linear Programming
We introduce two incomplete polynomial time algorithms to solve satisfiability problems which both use Linear Programming (LP) techniques. First, the FlipFlop LP attempts to simul...
Marijn Heule, Hans van Maaren
TSP
2011
142views more  TSP 2011»
14 years 4 months ago
Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection
—This paper deals with the problem of estimating the steering direction of a signal, embedded in Gaussian disturbance, under a general quadratic inequality constraint, representi...
Antonio De Maio, Yongwei Huang, Daniel Pére...