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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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2012
2012
In this work we consider the stochastic minimization of nonsmooth convex loss functions, a central problem in machine learning… 
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… 
2006
2006
This paper analyzes and designs medium access control (MAC) protocols for wireless ad-hoc networks through the network utility… 
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… 
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…