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CORR
2007
Springer
104views Education» more  CORR 2007»
13 years 7 months ago
Separable convex optimization problems with linear ascending constraints
Separable convex optimization problems with linear ascending inequality and equality constraints are addressed in this paper. An algorithm that explicitly characterizes the optimum...
Arun Padakandla, Rajesh Sundaresan
SIAMJO
2008
212views more  SIAMJO 2008»
13 years 7 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
TSP
2010
13 years 1 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
EOR
2008
159views more  EOR 2008»
13 years 7 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
ICIP
2010
IEEE
13 years 5 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...