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Subgradient method

Known as: Bundle method, Nonsmooth minimization, Subgradient methods 
Subgradient methods are iterative methods for solving convex minimization problems. Originally developed by Naum Z. Shor and others in the 1960s and… 
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Papers overview

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2010
2010
In many applications, nodes in a network wish to achieve not only a consensus, but an optimal one. To date, a family of… 
2010
2010
We establish a general optimization framework for joint resource allocation and interference mitigation. By utilizing axiomatic… 
2007
2007
We consider the problem of multiuser resource allocation for wireless multimedia applications deployed by autonomous and… 
2006
2006
A collaborative planning framework combining the Lagrangian relaxation method and genetic algorithms is developed to coordinate… 
Highly Cited
2004
Highly Cited
2004
The design and optimization of orthogonal frequency division multiplex (OFDM) systems typically take the following form. The… 
1994
1994
Subgradient mappings associated with various convex and nonconvex functions are a vehicle for stating optimality conditions, and… 
Highly Cited
1988
Highly Cited
1988
A new approach to the joint selection of primary and secondary routes in a network with unreliable components is presented. The…