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Incremental subgradient methods for nondifferentiable optimization
Angelia Nedić
,
Dimitri P. Bertsekas
Research output
:
Contribution to journal
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Article
›
peer-review
282
Scopus citations
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Dive into the research topics of 'Incremental subgradient methods for nondifferentiable optimization'. Together they form a unique fingerprint.
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Mathematics
Nondifferentiable Optimization
100%
Subgradient Method
93%
Subgradient
41%
Lagrangian Relaxation
23%
Iteration
22%
Steepest Descent Method
21%
Number of Components
19%
Least Squares Problem
19%
Computational Experiments
18%
Training
18%
Adjustment
17%
Neural Networks
16%
Convergence Properties
15%
Convex function
14%
Differentiable
14%
Convergence Rate
14%
Rate of Convergence
13%
Context
10%
Class
10%
Engineering & Materials Science
Steepest descent method
17%
Relaxation
12%
Neural networks
8%
Experiments
4%