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Subderivative

Known as: Subdifferential, Subgradient 
In mathematics, the subderivative, subgradient, and subdifferential generalize the derivative to functions which are not differentiable. The… 
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Related topics

Related topics

17 relations

Broader (2)

Convex analysisMathematical optimization
Convex functionConvex optimizationConvex setConvexity in economics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Energy harvesting two-way half-duplex relay channel with decode-and-forward relaying: Optimum power policies
In this paper, a half-duplex two-way relay channel with energy harvesting nodes is considered. In particular, short-term… 
2010
2010
A gossip algorithm for convex consensus optimization over networks
In many applications, nodes in a network wish to achieve not only a consensus, but an optimal one. To date, a family of… 
Highly Cited
2003
Highly Cited
2003
Large-Scale Molecular Optimization from Distance Matrices by a D.C. Optimization Approach
A so-called DCA method based on a d.c.\ (difference of convex functions) optimization approach (algorithm) for solving large… 
2003
2003
Single machine scheduling with symmetric earliness and tardiness penalties
Review
2001
Review
2001
Nonsmooth Analysis in Control Theory: A Survey
In the classical calculus of variations, the question of regularity (smoothness or otherwise of certain functions) plays a… 
1999
1999
On subdifferential calculus for convex functions defined on locally convex spaces
Nous demontrons la formule du sous-differentiel de la somme de deux fonctions convexes sous une condition de qualification tres… 
Highly Cited
1994
Highly Cited
1994
Sensor based planning and nonsmooth analysis
  • H. ChosetJ. Burdick
  • Proceedings of the IEEE International Conference…
  • 1994
  • Corpus ID: 18761845
This paper describes some initial steps towards sensor based path planning in an unknown static environment. The method is a… 
Highly Cited
1982
Highly Cited
1982
Cyclic subgradient projections
A cyclically controlled method of subgradient projections (CSP) for the convex feasibility problem of solving convex inequalities… 
Highly Cited
1980
Highly Cited
1980
On the number of periodic trajectories for a Hamiltonian flow on a convex energy surface
kbstract In this paper, we look for periodic solutions, with prescribed energy h C R, of Hamilton's equations: (H) a H (x, p), p… 
1973
1973
Differentiability of the metric projection in finite-dimensional Euclidean space
The metric projection on a closed subset of a finite-dimensional Euclidean space is almost everywhere differentiable. The main… 
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