Subgradient method: Difference between revisions

Content deleted Content added
Convergence results: >Claude Lemaréchal "Lagrangian Relaxation", ''Combinatorial Optimization'', ''Lecture Notes in Computer Science'', Springer Verlag. </ref>
Subgradient-projection methods: hyphenate to avoid confusion
Line 67:
| isbn = 1-886529-00-0
}}
</ref> On some problems, subgradient -projection methods are surprisingly competitive with proximal -bundle methods of descent; both subgradient-projection methods and contemporary bundle -methods often use "ballstep" rules for choosing step-sizes.<ref>[[Claude Lemaréchal]] "Lagrangian Relaxation", ''Combinatorial Optimization'', ''Lecture Notes in Computer Science'', Springer Verlag.</ref>
 
==Constrained optimization==