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SIAMJO
2010
87views more  SIAMJO 2010»
13 years 3 months ago
A Second Derivative SQP Method: Global Convergence
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
Nicholas I. M. Gould, Daniel P. Robinson
TSP
2010
12 years 12 months ago
A dual perspective on separable semidefinite programming with applications to optimal downlink beamforming
This paper considers the downlink beamforming optimization problem that minimizes the total transmission power subject to global shaping constraints and individual shaping constrai...
Yongwei Huang, Daniel Pérez Palomar
JOTA
2010
117views more  JOTA 2010»
13 years 3 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
13 years 8 days ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
EOR
2008
159views more  EOR 2008»
13 years 5 months ago
A survey on the continuous nonlinear resource allocation problem
Our problem of interest consists of minimizing a separable, convex and differentiable function over a convex set, defined by bounds on the variables and an explicit constraint des...
Michael Patriksson