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Robust solutions to l1, l2, and l_infinity uncertain linear approximation problems using convex optimization
Linear random and uncertain data convex optimization
2015/8/11
We present minimax and stochastic formulations of some linear approximation problems with uncertain data in R^n equipped with the Euclidean (l2), Absolute-sum (l1) or Chebyshev (l-infinity) norms. We ...
A primal-dual operator splitting method for conic optimization
Character segmentation conic optimization yield distributed linear algebra
2015/8/7
We develop a simple operator splitting method for solving a primal conic optimization problem; we show that the iterates also solve the dual problem. The resulting algorithm is very simple to describe...
Input Parameters Optimization in Swarm DS-CDMA Multiuser Detectors
Input Parameters Optimization Swarm DS-CDMA Multiuser Detectors
2011/3/3
In this paper, the uplink direct sequence code division multiple access (DS-CDMA) multiuser detection problem (MUD) is studied into heuristic perspective, named particle swarm optimization (PSO). Rega...
In this paper, we propose a class of new NCP functions and discuss their
properties.
By these function, we transfer the complementarity
problem into unconstrained optimization problem and study ...
In this paper, a truncated hybrid method is proposed and developed for
solving sparse large-scale nonlinear programming problems. In the hybrid
method,
a symmetric system of linear equations, inste...