UID:
almahu_9947921496102882
Format:
VIII, 364 p.
,
online resource.
ISBN:
9783540395096
Series Statement:
Lecture Notes in Mathematics, 1133
Note:
Fundamentals -- Aggregate subgradient methods for unconstrained convex minimization -- Methods with subgradient locality measures for minimizing nonconvex functions -- Methods with subgradient deletion rules for unconstrained nonconvex minimization -- Feasible point methods for convex constrained minimization problems -- Methods of feasible directions for nonconvex constrained problems -- Bundle methods -- Numerical examples.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783540156420
Language:
English
Subjects:
Mathematics
URL:
http://dx.doi.org/10.1007/BFb0074500
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(Deutschlandweit zugänglich)