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Methods of Descent for Nondifferentiable Optimization [electronic resource] / by Krzysztof C. Kiwiel.
Material type:
TextSeries: Lecture Notes in Mathematics ; 1133Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1985Description: VIII, 364 p. online resourceContent type: - text
- computer
- online resource
- 9783540395096
- 519 23
- Q295
- QA402.3-402.37
Contents:
In:
Springer eBooks
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.
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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.
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