Definition of Subgradient. Meaning of Subgradient. Synonyms of Subgradient

- In mathematics, subderivatives (or subgradient) generalizes the derivative to convex functions which are not necessarily differentiable. The set of subderivatives...
- Subgradient methods are convex optimization methods which use subderivatives. Originally developed by Naum Z. Shor and others in the 1960s and 1970s,...
- Cutting-plane methods Ellipsoid method Subgradient method Dual subgradients and the drift-plus-penalty method Subgradient methods can be implemented simply...
- size rules, which were first developed for classical subgradient methods. classical subgradient methods using divergent-series rules are much slower than...
- have a "subgradient oracle": a routine that can compute a subgradient of f at any given point (if f is differentiable, then the only subgradient is the...
- z_{t}\rangle } . To generalise the algorithm to any convex loss function, the subgradient ∂ v t ( w t ) {\displaystyle \partial v_{t}(w_{t})} of v t {\displaystyle...
- Subgradient methods: An iterative method for large locally Lipschitz functions using generalized gradients. Following Boris T. Polyak, subgradient–projection...
- {\displaystyle \chi _{A}(x)=(+\infty )\left(1-\mathbf {1} _{A}(x)\right).} The subgradient of χ A ( x ) {\displaystyle \chi _{A}(x)} for a set A {\displaystyle...
- non-differentiable convex minimization, where a convex objective function and its subgradient can be evaluated efficiently but usual gradient methods for differentiable...
- 604861. Kiwiel, Krzysztof C. (2001). "Convergence and efficiency of subgradient methods for quasiconvex minimization". Mathematical Programming, Series...