Subgradient method: Difference between revisions

Content deleted Content added
Monkbot (talk | contribs)
General constraints: link to "subdifferential"
Line 108:
\end{cases}</math>
 
where <math>\partial f</math> denotes the [[subdifferential]] of <math>f \ </math>. If the current point is feasible, the algorithm uses an objective subgradient; if the current point is infeasible, the algorithm chooses a subgradient of any violated constraint.
 
==References==