Definition of Subgradients. Meaning of Subgradients. Synonyms of Subgradients

- Ozdaglar. For constant step-length and scaled subgradients having Euclidean norm equal to one, the subgradient method converges to an arbitrarily close approximation...
- v\cdot (x-x_{0}),} where the dot denotes the dot product. The set of all subgradients at x 0 {\displaystyle x_{0}} is called the subdifferential at x 0 {\displaystyle...
- secant equation. Although the method involves subgradients, it is distinct from his so-called subgradient method described above. N. Z. Shor and N. G....
- size rules, which were first developed for classical subgradient methods. classical subgradient methods using divergent-series rules are much slower than...
- that evaluate gradients, or approximate gradients in some way (or even subgradients): Coordinate descent methods: Algorithms which update a single coordinate...
- Cutting-plane methods Ellipsoid method Subgradient method Dual subgradients and the drift-plus-penalty method Subgradient methods can be implemented simply...
- measure theory and probability theory, number theory, and approximate subgradients and coderivatives. He latterly collaborated with his son, Jonathan Borwein...
- 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...
- include coordinate descent, subgradient methods, least-angle regression (LARS), and proximal gradient methods. Subgradient methods are the natural generalization...
- Convex minimization Cutting-plane method Reduced gradient (Frank–Wolfe) Subgradient method Linear and quadratic...