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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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2015
2015
This paper proposes a novel multiagent control scheme to mitigate the voltage regulation challenges of dc distribution systems… 
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… 
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
2004
Highly Cited
2004
We introduce an algorithm to minimize a function of several variables with no convexity nor smoothness assumptions. The main… 
Highly Cited
2001
Highly Cited
2001
A specialized variant of bundle methods suitable for large-scale problems with separable objective is presented. The method is… 
Highly Cited
2001
Highly Cited
2001
This paper is concerned with filled function techniques for unconstrained global minimization of a continuous function of several… 
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… 
Highly Cited
1982
Highly Cited
1982
A cyclically controlled method of subgradient projections (CSP) for the convex feasibility problem of solving convex inequalities…